发表论文
Chu S, Xu R, Zhang X, et al.Analysis of the shallow water bathymetric accuracy of ICESat-2 in combination with marine environmental factors[J]. Marine Geodesy, 2025, 1-24.
Cheng J, Chu S, Cheng L. Advancing Shallow Water Bathymetry Estimation in Coral Reef Areas via Stacking Ensemble Machine Learning Approach[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.
Ye L, Chu S*, Chen H, et al. Hyperspectral Satellite-Derived Bathymetry Considering Substrate Characteristics[J]. Marine Geodesy, 2025, 1-25.
Chen H, Cheng J, Ruan X, Li J, Ye L, Chu S*, Cheng L, Zhang K. Satellite remote sensing and bathymetry co-driven deep neural network for coral reef shallow water benthic habitat classification[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 132: 104054.
Li J, Chu S, Hu Q, et al. Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets[J].International Journal of Applied Earth Observation and Geoinformation, 2024, 130.
Chu S, Cheng L*, Cheng J, et al. Shallow water bathymetry based on a back propagation neural network and ensemble learning using multispectral satellite imagery[J]. Acta Oceanologica Sinica, 2023, 42(5): 154-165.
Chu S, Cheng L*, Cheng J, et al. Comparison of six empirical methods for multispectral satellite-derived bathymetry[J]. Marine Geodesy, 2023, 46(2): 149-174.
Chen H, Chu S, Zhuang Q, et al. FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images[J]. International Journal of Applied Earth Observation and Geoinformation, 2023, 118: 103264.
Duan Z, Chu S, Cheng L*, et al. Satellite-derived bathymetry using Landsat-8 and Sentinel-2A images: Assessment of atmospheric correction algorithms and depth derivation models in shallow waters[J]. Optics Express, 2022, 30(3): 3238-3261.
Chu S, Cheng L*, Ruan X, et al. Technical framework for shallow-water bathymetry with high reliability and no missing data based on time-series sentinel-2 images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(11): 8745-8763.
Chu S, Hong L*, Cheng L, et al. Weighted multiscale region-level sparse representation for classification of high-spatial resolution remote sensing images[J]. Journal of Applied Remote Sensing, 2018, 12(4): 045005-045005.
Cheng L, Chu S*, Zong W, et al. Use of tencent street view imagery for visual perception of streets[J]. ISPRS International Journal of Geo-Information, 2017, 6(9): 265.
Chu S, Hong L, Liu C, et al. A new regional shape index for classification of high resolution remote sensing images[C]. 2014 Third International Workshop on Earth Observation and Remote Sensing Applications (EORSA). IEEE, 2014: 156-160.
楚森森, 程亮*, 程俭, 等. 基于光谱分层的浅海水深遥感反演方法[J]. 海洋学报, 2023, 45(1): 125-137.
洪亮, 冯亚飞, 彭双云, 楚森森*. 面向对象的多尺度加权联合稀疏表示的高空间分辨率遥感影像分类[J]. 测绘学报, 2022, (002):051.
洪亮, 楚森森*, 彭双云, 等. 顾及全局和局部最优的高分辨率遥感影像多尺度分割优化算法[J]. 遥感学报, 2020, 24(12).
楚森森, 洪亮*, 陈杰, 等. 融合边界信息的高分辨率遥感影像分割优化算法[J].中国图象图形学报, 2016, 21(8):10.
国家发明专刊
一种顾及底质特征的浅海水深高光谱反演方法（2024116529930）
一种基于光谱分层的浅海水深反演方法及系统（ZL202210546616.3）
一种基于神经网络与集成学习的水下地形提取方法（ZL202210391456.X）
一种基于时间序列遥感影像自动提取珊瑚礁的方法（ZL202110516844.1）
一种基于街景地图的互联网照片地理空间定位方法（ZL201710310894.8）
一种利用互联网街景照片计算城市天空开阔度的方法（ZL202010146662.5）
一种海上搜救船舶响应能力评估方法（ZL202010403319.4）
一种面向海上漂移轨迹预测的数据与模型耦合分析方法（ZL202010941034.6）
一种海上交通风险评估方法（ZL202010150608.8）
一种海区尺度落水人员漂移轨迹预测方法（202310001248.9）
一种海上救援船舶巡航路径规划方法（CN202010169849.7）
软件著作权
浅海水下地形卫星遥感反演软件V1.0（2024SR2092031）
卫星影像水下光学信号增强软件V1.0（2024SR2094629）
南海人工岛礁建设多情景分析V1.0（2022SR0799525）
高性能地理数据格式转换系统1.0（2013SR136873）
国家团体标准
被动光学卫星遥感浅水水下地形反演技术规范（T/CI 328—2024）
主动激光卫星浅水水下地形提取技术规范（T/CI 330—2024）
主被动融合浅水水下地形提取技术规范（T/CI 329—2024）
