著作：
杜培军，夏俊士，苏红军，谭琨等. 遥感多分类器集成方法与应用. 科学出版社. 2019.11(ISBN 978-7-03-062736-0)
谭琨，杜培军，朱济帅，欧德品. 高光谱遥感影像的协同训练与半监督分类. 科学出版社，2018.12
肖荣波, 吴志峰, 詹庆明, 杜培军等译. Xiaoyun Yang[著]. 城市遥感: 城市环境监测、集成与建模. 高等教育出版社. 2015
杜培军，谭琨，夏俊士等. 城市环境遥感方法与实践. 科学出版社, 2013年6月（地球观测与导航技术丛书、国家出版基金项目资助）
杜培军，谭琨，夏俊士. 高光谱遥感影像分类与支持向量机应用研究. 科学出版社，2012年3月（地球信息科学基础丛书）
杜培军，张海荣，冷海龙等译. Michael J De Smith[英], Michael F Goodchild[美], Paul A Longley[英]等著. 地理空间分析-原理、技术与软件工具(Geospatial Analysis A Comprehensive Guide to Principles, Techniques and Software Tools). 电子工业出版社. 2009年3月
代表性论文：
2024年
[1] Bin Cui, Yao Peng, Yonghong Zhang, Hujun Yin, Hong Fang, Shanchuan Guo, Peijun Du. Enhanced Edge Information and Prototype Constrained Clustering for SAR Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:1–16.
[2] Shanchuan Guo, Yu Chen, Peng Zhang, Wei Zhang, Pengfei Tang, Hong Fang, Junshi Xia, Peijun Du*. Estimates and dynamics of surface water extent in the Yangtze Plain from Sentinel-1&2 observations. International Journal of Applied Earth Observation and Geoinformation, 2024, 134:104155.
[3] Haowei Mu, Shanchuan Guo, Xuecao Li, Yuyu Zhou, Yihe Lü, Xiaoping Du, Jianxi Huang, Chaode Ma, Xingang Zhang, Zilong Xia, Hong Fang, Peijun Du*. Quantifying landscape connectivity gaps between protected area and natural habitat. Journal of Cleaner Production, 2024, 437:140729.
[4] Pengfei Tang, Jocelyn Chanussot, Shanchuan Guo, Wei Zhang, Lu Qie, Peng Zhang, Hong Fang, Peijun Du*. Deep learning with multi-scale temporal hybrid structure for robust crop mapping. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 209:117–132.
[5] Zilong Xia, Yingjie Li, Shanchuan Guo, Ruishan Chen, Wei Zhang, Xiaona Guo, Xingang Zhang, Peijun Du. Satellites Reveal Spatial Heterogeneity in Dryland Photovoltaic Plants’ Effects on Vegetation Dynamics. Earth’s Future, 2024, 12(6):e2024EF004427.
[6] Zilong Xia, Yingjie Li, Shanchuan Guo, Nan Jia, Xiaoquan Pan, Haowei Mu, Ruishan Chen, Meiyu Guo, Peijun Du. Balancing photovoltaic development and cropland protection: Assessing agrivoltaic potential in China. Sustainable Production and Consumption, 2024, 50:205–215.
[7] Chenghan Yang, Xin Wang, Shanchuan Guo, Hong Fang, Peijun Du*. Mapping Co-Seismic Landslides in Vegetated Areas by Incorporating Tri-Temporal Logical Information in Change Detection Method. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:1–19.
[8] Xingang Zhang, Shanchuan Guo, Bo Yuan, Haowei Mu, Zilong Xia, Pengfei Tang, Hong Fang, Zhuo Wang, Peijun Du. Error-Reduced Digital Elevation Model of the Qinghai-Tibet Plateau using ICESat-2 and Fusion Model. Scientific Data, 2024, 11(1):588.
[9] 唐鹏飞, 杜培军*, 郭山川, 郄璐, 方宏. 基于Sentinel-1 SAR影像的南黄海浒苔提取与动态监测. 遥感学报, 2024, 28(8):2030–2044.
[10]夏子龙, 杜培军*, 郭山川, 方宏, 张伟, 潘小全. 呼包鄂榆城市群遥感土地覆被产品评估分析与集成学习. 干旱区地理, 2024, 47(8):1367–1379.
2023年度
[1] Xia Zilong, Li Yingjie, Guo Shanchuan*, Chen Ruishan, Zhang Wei, Zhang Peng, Du Peijun. Mapping global water-surface photovoltaics with satellite images. Renewable and Sustainable Energy Reviews, 2023, 187: 113760.
[2] Pan Xiaoquan, Zhang Peng, Guo Shanchuan, Zhang Wei, Xia Zilong, Fang Hong, Du Peijun*. A novel exposed coal index combining flat spectral shape and low reflectance. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5625916.
[3] Fang Hong, Guo Shanchuan, Wang Xin, Liu Sicong, Lin Cong, Du Peijun*. Automatic urban scene-level binary change detection based on a novel sample selection approach and advanced triplet neural network. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5601518.
[4] Fang Hong, Guo Shanchuan, Zhang Peng, Zhang Wei, Wang Xin, Liu Sicong, Du Peijun*. Scene change detection by differential aggregation network and class probability-based fusion strategy. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5406918.
[5] Zhang Wei, Guo Shanchuan, Zhang Peng, Xia Zilong, Zhang Xingang, Lin Cong, Tang Pengfei, Fang Hong, Du Peijun*. A novel knowledge-driven automated solution for high-resolution cropland extraction by cross-scale sample transfer. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 4406816.
[6] Zhang Peng, Guo Shanchuan, Zhang Wei, Lin Cong, Xia Zilong, Zhang Xingang, Fang Hong, Du Peijun*. Pixel–scene–pixel–object sample transferring: a labor-free approach for high-resolution plastic greenhouse mapping. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 4401717.
[7] Zhang Xingang, Zhang Wei, Guo Shanchuan, Zhang Peng, Fang Hong, Mu Haowei, Du Peijun*. UnTDIP: Unsupervised neural network for DEM super-resolution integrating terrain knowledge and deep prior. International Journal of Applied Earth Observation and Geoinformation, 2023, 122: 103430.
[8] Xia Zilong, Li Yingjie, Zhang Wei, Guo Shanchuan*, Zheng Lilin, Jia Nan, Chen Ruishan, Guo Xiaona, Du Peijun. Quantitatively distinguishing the impact of solar photovoltaics programs on vegetation in dryland using satellite imagery. Land Degradation & Development, 2023, 34(14): 4373-4385.
[9] Zhang Peng, Lin Cong, Guo Shanchuan, Zhang Wei, Fang Hong, Du Peijun*. A labor-free index-guided semantic segmentation approach for urban vegetation mapping from high-resolution true color imagery. International Journal of Digital Earth, 2023, 16(1): 1640-1660.
[10] Fang Hong, Guo Shanchuan, Lin Cong, Zhang Peng, Zhang Wei, Du Peijun*. Scene-level change detection by integrating VHR images and POI data using a multiple-branch fusion network. Remote Sensing Letters, 2023, 14(8): 808-820.
[11] Cui Bin*, Peng Yao, Zhang Hao, Li Wenmei, Du Peijun. Characterizing Markov random fields and coefficient of variations as measures of spatial distributions for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 5509705.
[12] 杜培军, 张伟, 张鹏, 林聪, 郭山川, 胡泽周. 一种联合空谱特征的高光谱影像分类胶囊网络. 测绘学报, 2023, 52(7): 1090-1104.
[13] 杜培军, 张鹏, 郭山川, 唐鹏飞, 潘小全, 慕号伟. 融合光谱指数与高分影像的塑料大棚语义分割模型. 武汉大学学报(信息科学版), 2023, 48(10): 1670-1683.
[14] 张伟, 杜培军*, 郭山川, 林聪, 郑鸿瑞, 付萍杰. 改进型遥感生态指数及干旱区生态环境评价. 遥感学报, 2023, 27(2): 299-317.
[16] Guo Beiyang, Pei Tao*, Song Ci, Shu Hua, Wu Mingbo, Guo Sihui, Jiang Jingyu, Du Peijun. Trend surface analysis of geographic flows. International Journal of Geographical Information Science, 2023, 37(1): 118-137.
[17] Chen Yu*, Li Jie, Li Huaizhan, Gao Yandong, Li Shijin, Chen Si, Guo Guangli, Wang Fangtian, Zhao Dongsheng, Zhang Kefei, Li Peiling, Tan Kun, Du Peijun. Revealing land surface deformation over the Yineng backfilling mining area, China, by integrating distributed scatterer SAR interferometry and a mining subsidence model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 3611-3634.
[18] Wang Zheng, Qiu Shike, Zeng Qun, Du Peijun, Dang Xiaoyan, Liu Jiping, Du Jun*. Reconstruction of daily chlorophyll-a concentrations in the transit of severe tropical cyclone Hudhud using the ExDINEOF method. Frontiers in Marine Science, 2023, 10: 1230116.
[19] 柳思聪*, 都科丞, 郑永杰, 陈晋, 杜培军, 童小华. 人工智能时代的遥感变化检测技术：继承、发展与挑战. 遥感学报, 2023, 27(9): 1975-1987.
[20] 陈宇*, 陈思, 李杰, 李怀展, 高延东, 王勇, 杜培军.融合主成分时空分析与时序InSAR的高精度地表形变信息提取——以徐州地区为例. 地球信息科学学报, 2023, 25(12): 2402-2417.
2022年
[1]Zhang Peng, Du Peijun*, Guo Shanchuan, Zhang Wei, Tang Pengfei, Chen Jike, Zheng Hongrui. A novel index for robust and large-scale mapping of plastic greenhouse from Sentinel-2 images. Remote Sensing of Environment, 276 (2022) 113042
[2]Xia Zilong, Li Yingjie, Zhang Wei, Chen Ruishan, Guo Shanchuan, Zhang Peng, Du Peijun*. Solar photovoltaic program helps turn deserts green in China: Evidence from satellite monitoring. Journal of Environmental Management, 324 (2022) 116338
[3]Fang Hong, Du Peijun*, Wang, Xin. A novel unsupervised multiple change detection method for VHR remote sensing imagery using CNN with hierarchical sampling. International Journal of Remote Sensing, 2022, 43(13): 5006-5024
[4]Fang Hong, Du Peijun*, Wang, Xin. A novel unsupervised binary change detection method for VHR optical remote sensing imagery over urban areas. International Journal of Applied Earth Observation and Geoinformation, 2022, Vol. 108: 102749. DOI: 10.1016/j.jag.2022.102749
[5]Mu Haowei, Li Xuecao, Wen Yanan, Huang Jianxi, Du Peijun, Su Wei, Miao Shuangxi, Geng, Mengqing. A global record of annual terrestrial Human Footprint dataset from 2000 to 2018. Scientific Data, 2022, 9(1), Article number: 176
[6]Guo Beiyang, Pei Tao, Song Ci, Shu Hua, Wu Mingbo, Guo Sihui, Jiang Jingyu, Du Peijun. Trend surface analysis of geographic flows. International Journal of Geographical Information Science, 2022, DOI: 10.1080/13658816.2022.2129660
[7]Jiang Jingyu; Wang Xi, Liu Tianyu, Fang Zidong, Pei Tao, Song Ci, Du Peijun. Topological relationship model for geographical flows. Cartography and Geographic Information Science, 2022, 49(6): 528-544
[8]Wang Xin, Du Peijun, Liu Sicong, Senyshen Matthew, Zhang Wei, Fang Hong, Fan Xuanmei. A novel multiple change detection approach based on tri-temporal logic-verified change vector analysis in posterior probability space. International Journal of Applied Earth Observation and Geoinformation, 2022, Vol. 111, Paper ID: 102852, DOI: 10.1016/j.jag.2022.102852
[9]Wang Xin, Fan Xuanmei, Xu Qiang, Du Peijun. Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, Vol. 187: 225-239. DOI: 10.1016/j.isprsjprs.2022.03.011
[10]Zhang Wei, Du Peijun*, Fu Pingjie, Zhang Peng, Tang Pengfei, Zheng Hongrui, Meng Yaping, Li Erzhu. Attention-aware Dynamic Self-Aggregation Network for Satellite Image Time Series Classification. IEEE Transactions on Geoscience and Remote Sensing, 2022, Vol. 60: 4406517. DOI: 10.1109/TGRS.2021.3120914.
[11]Xue Zhaohui, Zhou Yiyang, Du Peijun. S3Net: Spectral-Spatial Siamese Network for Few-Shot Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2022, Vol. 60: 5531219. DOI:10.1109/TGRS.2022.3181501
[12]Wang Xue, Tan Kun, Du Peijun, Pan Chen, Ding Jianwei. A Unified Multiscale Learning Framework for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2022, Vol. 60: 4508319. DOI:10.1109/TGRS.2022.3147198
[13]Samat Alim, Li Erzhu, Du Peijun, Liu Sicong, Miao Zelang, Zhang, Wei. CatBoost for RS Image Classification with Pseudo Label Support From Neighbor Patches-Based Clustering. IEEE Geoscience and Remote Sensing Letters, 2022, Vol.19: 8004105. DOI: 10.1109/LGRS.2020.3038771
[14]Peng Yao, Cui Bin, Yin, Hujun, Zhang Yonghong, Du Peijun. Automatic SAR Change Detection Based on Visual Saliency and Multi-Hierarchical Fuzzy Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, Vol. 15: 7755-7769. DOI: 10.1109/JSTARS.2022.3199017
[15]Chao Niu; Kun Tan; Xue Wang; Bo Han; Shule Ge; Peijun Du; Feng Wang. Radiometric crosscalibration of the ZY102D hyperspectral imager using the GF5 AHSI imager. IEEE Transactions on Geoscience and Remote Sensing, 2022, Vol.60: 5519612. DOI: 10.1109/TGRS.2021.3131485
[16]Li Erzhu, Samat Alim, Du Peijun, Liu Wei, Hu Jinshan. Improved Bilinear CNN Model for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters, 2022, Vol.19: 8004305. DOI: 10.1109/LGRS.2020.3040153
[17]Chen Jike, Du Peijun, Jin Shuangen, Ding Haiyong, Chen Cheng, Xu Yongming, Feng Li, Guo, Guanhua, Zheng Hongrui, Huang Minmin. Unravelling the multilevel and multi-dimensional impacts of building and tree on surface urban heat islands. Energy and Buildings, 2022, Vol. 259: 111843. DOI: 10.1016/j.enbuild.2022.111843
[18]Chen Jike, Zhan Wenfeng, Du Peijun, Li Long, Li Jiufeng, Liu Zihan, Huang Fan, Lai Jiameng, Xia Junshi. Seasonally disparate responses of surface thermal environment to 2D/3D urban morphology. Building and Environment, 214 (2022) 108928. //doi.org/10.1016/j.buildenv.2022.108928
[19]杜培军, 林聪, 陈宇, 王欣, 张伟, 郭山川. 多时相遥感影像样本迁移模型与地表覆盖智能分类. 同济大学学报(自然科学版). 2022,50(07): 955-966
2021年
[1]Guo Shanchuan, Du Peijun*, Xia Junshi, Tang Pengfei, Wang Xin, Meng Yaping, Wang Hua. Spatiotemporal changes of glacier and seasonal snow fluctuations over the NamchaBarwa–Gyala Peri massif using object-based classification from Landsat time series. ISPRS Journal of Photogrammetry and Remote Sensing, 2021,177: 21-37.
[2]Zhang Wei, Du Peijun*, Fu Pingjie, Zhang Peng, Tang Pengfei, Zheng Hongrui, Meng Yaping, Li Erzhu. Attention-aware Dynamic Self-Aggregation Network for Satellite Image Time Series Classification. IEEE Transactions on Geoscience and Remote Sensing, 2021, DOI: 10.1109/TGRS.2021.3120914.
[3]Fang Hong, Du Peijun*, Wang Xin, Lin Cong, Tang Pengfei. Unsupervised Change Detection Based on Weighted Change Vector Analysis and Improved Markov Random Field for High Spatial Resolution Imagery. IEEE Geoscience and Remote Sensing Letters, 2021, DOI: 10.1109/LGRS.2021.3059461.
[4]Zheng Hongrui, Du Peijun*, Guo Shanchuan, Wang Xin, Zhang Wei, Liu Sicong, Li Xiaojuan. Bi-CCD: Improved Continuous Change Detection by Combining Forward and Reverse Change Detection Procedure. IEEE Geoscience and Remote Sensing Letters, 2021, DOI: 10.1109/LGRS.2021.3095508.
[5]Tang Pengfei, Du Peijun*, Xia Junshi, Zhang Peng, Zhang Wei. Channel Attention-Based Temporal Convolutional Network for Satellite Image Time Series Classification. IEEE Geoscience and Remote Sensing Letters, 2021, DOI: 10.1109/LGRS.2021.3095505.
[6]Kun Tan;Xue Wang;Chao Niu;Feng Wang;Peijun Du;De-Xin Sun;Juan Yuan;Jing Zhang. Vicarious Calibration for the AHSI Instrument of Gaofen-5 With Reference to the CRCS Dunhuang Test Site. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(4): 3409 – 3419
[7]Chao Niu; Kun Tan; Xue Wang; Bo Han; Shule Ge; Peijun Du; Feng Wang. Radiometric crosscalibration of the ZY102D hyperspectral imager using the GF5 AHSI imager. IEEE Transactions on Geoscience and Remote Sensing, 2021. DOI: 10.1109/TGRS.2021.3131485
[8]Zhaohui Xue; Mengxue Zhang; Yifeng Liu; Peijun Du. Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(11): 9600 – 9615. DOI: 10.1109/TGRS.2020.3048128
[9]Alim Samat; Erzhu Li; Peijun Du; Sicong Liu; Zelang Miao. Improving Deep Forest via Patch-Based Pooling, Morphological Profiling, and Pseudo Labeling for Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, Vol.14, 9334 – 9349. DOI: 10.1109/JSTARS.2021.3110994
[10]Erzhu Li; Alim Samat; Ce Zhang; Peijun Du; Wei Liu. First and Second-Order Information Fusion Networks for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters, 2021, DOI: 10.1109/LGRS.2021.3090045
[11]Alim Samat;Erzhu Li;Peijun Du;Sicong Liu;Junshi Xia. GPU-Accelerated CatBoost-Forest for Hyperspectral Image Classification Via Parallelized mRMR Ensemble Subspace Feature Selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, Vol.14, 3200 – 3214. DOI: 10.1109/JSTARS.2021.3063507
[12]Chen Jike, Zhan Wenfeng, Jin Shuangen, Han Wenquan, Du Peijun, Xia Junshi, Lai Jiameng, Li Jiufeng, Liu Zihan, Li Long, Huang Fan, Ding Haiyong. Separate and combined impacts of building and tree on urban thermal environment from two- and three-dimensional perspectives. Building and Environment, 2021, Vol. 194, DOI10.1016/j.buildenv.2021.107650
[13]Tan Kun, Ma Weibo, Chen Lihan, Wang Huimin, Du Qian, Du Peijun*, Yan Bokun, Liu Rongyuan, Li Haidong. Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning. Journal of Hazardous Materials, 2021, Vol. 401, 123288. DOI10.1016/j.jhazmat.2020.123288
[14]郭山川, 杜培军*, 蒙亚平, 王欣, 唐鹏飞, 林聪, 夏俊士. 时序Sentinel-1A 数据支持的长江中下游汛情动态监测. 遥感学报, 2021, 25(10): 2127-2141.
2020年
[1]Peijun Du, Xin Wang, Dongmei Chen, Sicong Liu, Cong Lin, Yaping Meng. An improved change detection approach using tri-temporal logic-verified change vector analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 161 (2020) 278–293
[2]Peijun Du, Xuyu Bai, Kun Tan, Zhaohui Xue, Alim Samat, Junshi Xia, Erzhu Li, Hongjun Su, Wei Liu. Advances of four machine learning methods for spatial data handling: a review. Journal of Geovisualization and Spatial Analysis, (2020) 4: 13.
[3]Peijun Du, Jike Chen, Xuyu Bai, Wenquan Han. Understanding the seasonal variations of land surface temperature in Nanjing urban area based on local climate zone. Urban Climate, 33 (2020) 100657
[4]Yaping Meng, Peijun Du*, Xin Wang, Xuyu Bai, Shanchuan Guo. Monitoring Human-induced Surface Water Disturbance around Taihu Lake since 1984 by Time Series Landsat Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, Vol.13: 3780-3789
[5]Pengfei Tang, Peijun Du*, Cong Lin, Shanchuan Guo, Lu Qie. A novel sample selection method for impervious surface area mapping using JL1-3B nighttime light and Sentinel-2 imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, Vol. 13, 3931-3941
[6]Wei Zhang, Peijun Du*, Cong Lin , Pingjie Fu , XinWang , Xuyu Bai, Hongrui Zheng , Junshi Xia , Alim Samat. An Improved Feature Set for Hyperspectral Image Classification: Harmonic Analysis Optimized by Multi-scale Guided Filter (HGFM). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, Vol. 13,3903-3916
[7]Wang Xin, Du Peijun*, Chen Dongmei, Liu Sicong, Zhang Wei, Li Erzhu. Change Detection Based on Low-Level to High-Level Features Integration with Limited Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, Vol.13, 6260-6276
[8]Xin Wang, Peijun Du*, Dongmei Chen, Cong Lin, Hongrui Zheng, Shanchuan Guo. Characterizing urbanization-induced land surface phenology change from time-series remotely sensed images at fine spatio-temporal scale: A case study in Nanjing, China (2001-2018). Journal of Cleaner Production, 274 (2020), 122487
[9]Zhang Peng, Du Peijun*, Lin Cong, Wang Xin, Li Erzhu, Xue Zhaohui, Bai Xuyu. A Hybrid Attention-Aware Fusion Network (HAFNet) for Building Extraction from High-Resolution Imagery and LiDAR Data. Remote Sensing, 2020, Volume: 12, Issue: 22, Article Number: 3764
[10]Jike Chen, Shuangen Jin, Peijun Du. Roles of horizontal and vertical tree canopy structure in mitigating daytime and nighttime urban heat island effects. International Journal of Applied Earth Observation and Geoinformation, 89 (2020) 102060
[11]K. Tan , H. Wang, L. Chen, Q. Du, P. Du, and C. Pan, Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest. Journal of Hazardous Materials, vol. 382, no. 1, p. 120987, 2020
[12]Kun Tan , Xue Wang , Chao Niu , Feng Wang , Peijun Du, De-Xin Sun, Juan Yuan, and Jing Zhang. Vicarious Calibration for the AHSI Instrument of Gaofen-5 With Reference to the CRCS Dunhuang Test Site. IEEE Transactions on Geoscience and Remote Sensing, 2020,
[13]X. Wang, K. Tan, Q. Du, Y. Chen, and P. Du. CVA²E: A Conditional Variational Autoencoder With an Adversarial Training Process for Hyperspectral Imagery Classification.IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(8): 5676-5692
[14]Hongjun Su ; Yao Yu ; Qian Du ; Peijun Du. Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(6): 3778-3790
[15]Junshi Xia, Wenzhi Liao, Peijun Du. Hyperspectral and LiDAR Classification With Semisupervised Graph Fusion. IEEE Geoscience and Remote Sensing Letters, 2020, 17(4): 666-670
[16]唐鹏飞，苗则朗，林聪，杜培军*，郭山川. 融合高分夜光和Landsat OLI 影像的不透水面自动提取方法. 红外与毫米波学报, 2020, 39(1): 128-136
[17]杜培军,王欣,蒙亚平,等.面向地理国情监测的变化检测与地表覆盖信息更新方法.地球信息科学学报, 2020, 22(4): 857-866.
[18]杜培军. 高分辨率遥感影像处理进展与城市应用若干实例. 现代测绘, 2020, 43(1): 1-9
2019年
[1]Peijun Du ; Erzhu Li ; Junshi Xia ; Alim Samat ; Xuyu Bai. Feature and Model Level Fusion of Pretrained CNN for Remote Sensing Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(8): 2600-2611
[2]Bai Xuyu, Du Peijun*, Guo Shanchuan, Zhang Peng, Lin Cong, Tang Pengfei, Zhang Ce. Monitoring Land Cover Change and Disturbance of the Mount Wutai World Cultural Landscape Heritage Protected Area Based on Remote Sensing Time-Series Images from 1987 to 2018.Remote Sensing, 2019,11(11), Article Number: 1332. DOI: 10.3390/rs11111332.
[3]Guo Shanchuan, Bai Xuyu, Chen Yu, Zhang Shaoliang, Hou Huping, Zhu Qianlin, Du Peijun*. An Improved Approach for Soil Moisture Estimation in Gully Fields of the Loess Plateau Using Sentinel-1A Radar Images.Remote Sensing, 2019,11(3), Article Number: 349. DOI: 10.3390/rs11030349.
[4]Guo Shanchuan, Zheng Hongrui, Yang Yongjun, Zhang Shaoliang,Hou Huping, Zhu Qianlin, Du Peijun*. Spatial estimates of surface deformation and topsoil moisture in operating CO2-EOR project: Pilot environmental monitoring using SAR technique. Journal of Cleaner Production，Vol.236, 2019: 1-10
[5]Wang Xin, Du Peijun*, Liu Sicong, Lu Gang, Gao Xiaoming. Change detection in high-resolution images based on feature importance and ensemble method. Arabian Journal of Geosciences. 2019, 12(14), Article Number: 446, DOI: 10.1007/s12517-019-4600-0
[6]Lin Cong, Du Peijun*, Samat Alim, Li Erzhu, Wang, Xin, Xia, Junshi. Automatic Updating of Land Cover Maps in Rapidly Urbanizing Regions by Relational Knowledge Transferring from GlobeLand30. Remote Sensing, 2019, 11(12): Article Number: 1397. DOI: 10.3390/rs11121397
[7]Luo Jieqiong, Zhou Tinggang, Du Peijun*, Xu Zhigang. Spatial-temporal variations of natural suitability of human settlement environment in the Three Gorges Reservoir Area--A case study in Fengjie County, China. Frontiers of Earth Science, 2019, 13(1): 1-17
[8]Xue Zhaohui, Yang Sirui, Zhang Hongyan, DuPeijun. Coupled Higher-Order Tensor Factorization for Hyperspectral and LiDAR Data Fusion and Classification. Remote Sensing, 2019, 11(17): Article Number: 1959. DOI: 10.3390/rs11171959
[9]Wang Xue, Tan Kun, Du Qian, Chen Yu, Du Peijun. Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(9): 7232-7245
[10]Kun Tan ; Fuyu Wu ; Qian Du ; Peijun Du ; Yu Chen. A Parallel Gaussian–Bernoulli Restricted Boltzmann Machine for Mining Area Classification With Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(2): 627 – 636
[11]Shaoguang Zhou, Zhaohui Xue, Peijun Du. Semisupervised Stacked Autoencoder With Cotraining for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(6): 3813 – 3826
[12]Hongjun Su ; Bo Zhao ; Qian Du ; Peijun Du. Kernel Collaborative Representation With Local Correlation Features for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(2): 1230 – 1241
[13]Samat Alim, Yokoya Naoto, Du Peijun, Liu Sicong, Ma Long, Ge Yongxiao, Issanova Gulnura, Saparov Abdula, Abuduwaili Jilili, Lin Cong. Direct, ECOC, ND and END Frameworks-Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan. Remote Sensing, 2019, 11(16): Article Number: 1953. DOI: 10.3390/rs11161953
[14]杜培军; 梁昊; 王欣; 栗云峰. 一种基于集成学习的城市新增建设用地快速提取方法. 环境监控与预警. 2019, 11(5): 39-45
2018年及以前
[1]杜培军, 白旭宇, 罗洁琼, 李二珠, 林聪. 城市遥感研究进展. 南京信息工程大学学报（自然科学版），2018, 10(1): 16-29
[2]Gan Le, Xia Junshi, Du Peijun*, Chanussot Jocelyn. Class-Oriented Weighted Kernel Sparse Representation With Region-Level Kernel for Hyperspectral Imagery Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(4): 1118-1130
[3]Le Gan, Peijun Du*, Junshi Xia, Yaping Meng. Kernel Fused Representation-Based Classifier for Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters. 2017, 14(5): 684 – 688. DOI: 10.1109/LGRS.2017.2671852
[4]Gan Le, Xia Junshi, Du Peijun*, Xu Zhigang. Dissimilarity-Weighted Sparse Representation for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 2017, 14(11): 1968-1972
[5]Erzhu Li, Peijun Du*, Alim Samat, Yaping Meng, Meiqin Che. Mid-Level Feature Representation via Sparse Autoencoder for Remotely Sensed Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(3): 1068 – 1081. DOI: 10.1109/JSTARS.2016.2621011
[6]Li Erzhu, Xia Junsh, Du Peijun, Lin Cong, Samat Alim. Integrating Multilayer Features of Convolutional Neural Networks for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(10): 5653-5665
[7]Zhaohui Xue, Peijun Du, Jun Li, Hongjun Su. Sparse Graph Regularization for Hyperspectral Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(4): 2351 – 2366. DOI: 10.1109/TGRS.2016.2641985
[8]Zhaohui Xue, Peijun Du*, Jun Li, Hongjun Su. Sparse graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, Vol. 124: 1-15
[9]Alim Samat, Jun Li, Sicong Liu, Peijun Du*, Zelang Miao, Jieqiong Luo. Improved hyperspectral image classification by active learning using pre-designed mixed pixels. Pattern Recognition, 2016 (51): 43-58 (Corresponding author)
[10]Alim Samat, Paolo Gamba, Sicong Liu, Peijun Du, Jilili Abuduwaili. Jointly Informative and Manifold Structure Representative Sampling Based Active Learning for Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(11): 6803- 6817. (Corresponding author)
[11]Jike Chen; Junshi Xia; Peijun Du; Jocelyn Chanussot. Combining Rotation Forest and Multiscale Segmentation for the Classification of Hyperspectral Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016, 9(9): 4060-4072 (Corresponding author)
[12]Jike Chen, Junshi Xia, Peijun Du*, Jocelyn Chanussot, Zhaohui Xue and Xiangjian Xie. Kernel Supervised Ensemble Classifier for the Classification of Hyperspectral Data Using Few Labeled Samples. Remote Sensing., 2016, 8(7): 601 (Corresponding author)
[13]Rui Bao, Junshi Xia, Mauro Dalla Mura, Peijun Du*, Jocelyn Chanussot and Jinchang Ren. Combining Morphological Attribute Profiles via an Ensemble Method for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 2016, 13(3): 359-363 (Corresponding author)
14]Junshi Xia, Jocelyn Chanussot, Peijun Du*, Xiyan He. Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(3): 1519 - 1531(Corresponding author)
[15]杜培军, 夏俊士, 薛朝辉, 谭琨, 苏红军, 鲍蕊. 高光谱遥感影像分类研究进展遥感学报. 2016, 20(2): 236-256
[16]车美琴, 阿里木·赛买提, 杜培军, 罗洁琼, 鲍蕊. 利用旋转不变特征提取全极化SAR影像人工地物. 遥感学报, 2016, 20(2): 303-314
[17]Peijun Du, Alim Samat, Björn Waske, Sicong Liu, Zhenhong Li. Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features. ISPRS Journal of Photogrammetry and Remote Sensing. 105 (2015), 38–53. //dx.doi.org/10.1016/j.isprsjprs.2015.03.002
[18]Peijun Du, Zhaohui Xue, Jun Li, and Antonio Plaza. Learning Discriminative Sparse Representations for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Signal Processing. 2015, 9(6): 1089 - 1104, (DOI: 10.1109/JSTSP.2015.2423260)
[19]Zhaohui Xue, Jun Li, Liang Cheng, Peijun Du*. Spectral-Spatial Classification of Hyperspectral Image via Morphological Component Analysis Based Image Separation. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(1): 70-84 (Corresponding author)
[20]Zhaohui Xue; Peijun Du*; Jun Li; Hongjun Su. Simultaneous Sparse Graph Embedding for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53, (11): 6114 - 6133, DOI: 10.1109/TGRS.2015.2432059 (Corresponding author)
[21]Junshi Xia, Jocelyn Chanussot, Peijun Du*, and Xiyan He. Spectral-spatial classification for hyperspectral data using Rotation Forest with local feature extraction and Markov random field. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(5): 2532-2546, DOI: 10.1109/TGRS.2014.2361618(Corresponding author)
[22]Xia Junshi, Dalla Mura, M.; Chanussot, Jocelyn, Peijun Du* and Xiyan He. Random Subspace Ensembles for Hyperspectral Image Classification With Extended Morphological Attribute Profiles. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(9): 4768 - 4786, DOI: 10.1109/TGRS.2015.2409195(Corresponding author)
[23]Alim Samat, Paolo Gamba, Peijun Du*, Jieqiong Luo. Active extreme learning machines for quad-polarimetric SAR imagery classification. International Journal of Applied Earth Observation and Geoinformation, 2015, 35: 305-319(Corresponding author)
[24]Kun Tan, Jun Hu, Jun Li, Peijun Du*. A novel semi-supervised hyperspectral image classification approach based on spatial neighborhood information and classifier combination. ISPRS Journal of Photogrammetry and Remote Sensing, 105 (2015), 19–29. //dx.doi.org/10.1016/j.isprsjprs.2015.03.006 (Corresponding author)
[25]Xiangjian Xie; Peijun Du; Junshi Xia; Jieqiong Luo. Spectral Indices for Estimating Exposed Carbonate Rock Fraction in Karst Areas of Southwest China. IEEE Geoscience and Remote Sensing Letters, 2015, 12( 9): 1988 - 1992, DOI: 10.1109/LGRS.2015.2441962 (Corresponding author)
[26]Erzhu Li, Peijun Du*, Alim Samat, Junshi Xia & Meiqin Che. An automatic approach for urban land-cover classification from Landsat-8 OLI data. International Journal of Remote Sensing, 2015, 36(24): 5983-6007 (Corresponding author)
[27]Peijun Du, Pei Liu, Junshi Xia, Li Feng, Sicong Liu, Kun Tan and Liang Cheng. Remote Sensing Image Interpretation for Urban Environment Analysis: Methods, System and Examples. Remote Sensing. 2014, 6(10), 9458-9474; doi:10.3390/rs6109458
[28]Peijun Du, Alim Samat, Paolo Gamba, Xiangjian Xie. Polarimetric SAR Image Classification by Boosted Multiple-Kernel Extreme Learning Machines with Polarimetric and Spatial Features. International Journal of Remote Sensing,2014, 35(23): 7978–7990
[29]Alim Samat, Peijun Du*, Muhammad Hasan Ali Baig, Sumit Chakravarty, Cheng Liang. Ensemble Learning with Multiple Classifiers and Polarimetric Features for Polarized SAR Image Classification, Photogrammetric Engineering & Remote Sensing,2014. 80(3): 239-251 doi: 10.14358/PERS.80.3.000 (Corresponding author)
[30]Alim Samat, Peijun Du*, Sicong Liu, Jun Li, Liang Cheng. E2LMs: Ensemble Extreme Learning Machines for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014, 7(4):1060 - 1069 (Corresponding author)
[31]Zhaohui Xue, Peijun Du*, Li Feng. Phenology-Driven Land Cover Classification and Trend Analysis Based on Long-term Remote Sensing Image Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(4): 1142-1156(Corresponding author)
[32]Zhaohui Xue, Peijun Du*, Hongjun Su. Harmonic Analysis for Hyperspectral Image Classification Integrated with PSO Optimized SVM. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, Vol. 7, No. 6, pp. 2131-2146(Corresponding author)
[33]Junshi Xia, Peijun Du*, Xiyan He, and Jocelyn Chanussot. Hyperspectral Remote Sensing Image Classification Based on Rotation Forest. IEEE Geoscience and Remote Sensing Letters, 2014, 11(1): 239-243(Corresponding author)
[34]Xia Junshi, Chanussot Jocelyn, Du Peijun* and He Xiyan. Semi-supervised probabilistic principal component analysis for hyperspectral remote sensing image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014. 7(6): 2224 - 2236, (Corresponding author)
[35]Peijun DU, Sicong LIU, Pei LIU, Kun TAN & Liang CHENG. Sub-Pixel Change Detection for Urban Land Cover Analysis via Multi-temporal Remote Sensing Images. Geo-spatial Information Science, 2014, 17(1): 26 - 38
[36]Peijun Du, Junshi Xia, Qian Du, Yan Luo & Kun Tan. Evaluation of the spatio-temporal pattern of urban ecological security using remote sensing and GIS,International Journal of Remote Sensing, 2013, 34(3), 848-863
[37]Peijun Du, Sicong Liu, Junshi Xia, Yindi Zhao. Information fusion techniques for change detection from multi-temporal remote sensing images. Information Fusion. 2013, 14 (1) 19–27. DOI: 10.1016/j.inffus.2012.05.003.
[38]杜培军，阿里木·赛买提. 高分辨率遥感影像分类的多示例集成学习. 遥感学报, 2013, 17(1): 77-97
[39]Peijun Du, Kun Tan and Xiaoshi Xing. A novel binary tree support vector machine for hyperspectral remote sensing image classification. Optics Communication, 285 (2012) 3054–3060. doi:10.1016/j.optcom.2012.02.092
[40]Peijun Du, Junshi Xia, Wei Zhang, Kun Tan, Yi Liu and Sicong Liu. Multiple Classifier System for Remote Sensing Image Classification: A Review. Sensors, 2012, 12, 4764-4792. doi:10.3390/s120404764
[41]Peijun Du, Sicong Liu, Paolo Gamba, Kun Tan, and Junshi Xia. Fusion of Difference Images for Change Detection over Urban Areas. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2012, 5(4): 1076-1086. DOI 10.1109/JSTARS.2012.2200879
