
Paper Publications
-
[16] SCSQ-Net: A shared kernel point convolution semantic query network for weakly supervised classification of multispectral LiDAR point clouds.IEEE Transactions on Geoscience and Remote Sensing.2025
-
[17] RTCNet: A novel real-time triple branch network for pavement crack semantic segmentation.International Journal of Applied Earth Observation and Geoinformation.2025
-
[18] 整合集成预测约束与错误预测熵最大化的移动激光扫描点云分类.遥感学报.2025,29(1):328-3339
-
[19] SACNet: A novel self‑supervised learning method for shadow detection from high‑resolution remote sensing images.Journal of Geovisualization and Spatial Analysis,(2025) 9:1
-
[20] A Self-Adaptive Mean Shift Tree-Segmentation Method Using UAV LiDAR Data.REMOTE SENSING.2020,12(3):14p
-
[21] Land-cover classifcation of multispectral LiDAR data using CNN with optimized hyper-parameters.ISPRS Journal of Photogrammetry and Remote Sensing.2020,2020(166):241-254
-
[22] A Convolutional Capsule Network for Traffic-Sign Recognition Using Mobile LiDAR Data with Digital Images.IEEE Geoscience and Remote Sensing Letters.2020,17(6):1067-1071
-
[23] 车载LiDAR数据的道路裂缝信息自动提取.测绘科学.2018,43(8): 130 -134页 转140页
-
[24] An Automated Hierarchical Approach for Three-Dimensional Segmentation of Single Trees Using UAV LiDAR Data.REMOTE SENSING.2018,10(12):16p
-
[25] A VOXEL-BASED FILTERING ALGORITHM FOR MOBILE LIDAR DATA.ISPRS-TC3 Symposium.2018
-
[26] Robust Traffic-Sign Detection and Classification Using Mobile LiDAR Data With Digital Images.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING.2018,11(5):1715-1724
-
[27] A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING.2019,12(4):1314-1326
-
[28] Aeroplane detection in very-high-resolution images using deep feature representation and rotation-invariant Hough forests.INTERNATIONAL JOURNAL OF REMOTE SENSING.2017,38(23):6882-6893
-
[29] Pole-Like Road Object Detection in Mobile LiDAR Data via Supervoxel and Bag-of-contextual-visual-words Representation.IEEE Geoscience and Remote Sensing Letters.2016,13(4):520-524
-
[30] Bag-of-visual-phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data.ISPRS Journal of Photogrammetry and Remote Sensing.2016(113):106-123
|

 PostalAddress:742fddf55e30ef0dd61f958351520b4f9523aeb781d368438eb886442ca1f9cce6b0137b0a163df5c422c9ade12279c6ab9f1d88a8efe7c2e191aafc233660b730d0164a647bf6cbb43bb7be5fba588e6eb2389edeb626036bebe89af5cf63b366163fa1435ef212fa5c9641d47a27fa8e1c4a2b3c83b20ff266672f076d5922
 OfficePhone:978cc13dade9051cc1c773feaadd526e67d40df30f0f396378657a94c2879658930fd556bf69e4e0bd710f79418e3039e70e0e5f99a414b36340f7e37f299f67695675266a28c8438a3578fa71f579cb6fb4f483b86a6833ca0c9c4850d346a8b2c975c3151efa6bfbf01b8890770accee703bb5f7afb441fd3615eb8196666d
 Telephone:70682d19e787507e8f4b13ec210b3628467c6d98a6e0135393aee44f8370da83c61c8951ac67a7545bc9a11ade4fd72ea21f7c738d11be9cebb7a3fa7fd81f65175e05432e7ce4ccc5f154cab9f7d7463d7e5276b2ec5592112dd63e9184025824db5704506ae0ccf2382cf72b066c6e135f85c27c32f00d09016cc72ffbc15c
 E-mail:a36e2c9fc86839865ef57b789ab685fa4be35c2ecba35e4041e4227b683103edc0c69fd4f829ca6a2d52491cb1d14b13bbe57f808f134ff6e82eec15313528ba4d2dc71c8d7cc5d9a5647536ec5bcc4b4652d7fc675c8ffc3ab9c7576f9e9f097725b77154ccd32da90baf5f88de1081b34dcc11e6ec3a925102e482744c0fe1
|