| Citation: |
XU Lei. Analysis and Processing of Spatiotemporal Precipitation Forecasting by Considering Data and Model Uncertainties[J]. Geomatics and Information Science of Wuhan University, 2022, 47(4): 639-639. DOI: 10.13203/j.whugis20210698
|
| [1] | MENG Yiyue, GUO Chi, LIU Jingnan. Deep Reinforcement Learning Visual Target Navigation Method Based on Attention Mechanism and Reward Shaping[J]. Geomatics and Information Science of Wuhan University, 2024, 49(7): 1100-1108. DOI: 10.13203/j.whugis20230193 |
| [2] | GAO Kuiliang, LIU Bing, YU Xuchu, YU Anzhu, SUN Yifan. Automatic Network Structure Search Method for Hyperspectral Image Classification[J]. Geomatics and Information Science of Wuhan University, 2024, 49(2): 225-235. DOI: 10.13203/j.whugis20210380 |
| [3] | WANG Jie, LIU Jiahang, LING Xinpeng, DUAN Zexian. Deep Learning-Based Joint Local and Non-local InSAR Image Phase Filtering Method[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240052 |
| [4] | GUO Congzhou, LI Ke, LI He, TONG Xiaochong, WANG Xiwen. Deep Convolution Neural Network Method for Remote Sensing Image Quality Level Classification[J]. Geomatics and Information Science of Wuhan University, 2022, 47(8): 1279-1286. DOI: 10.13203/j.whugis20200292 |
| [5] | LI Yansheng, ZHANG Yongjun. A New Paradigm of Remote Sensing Image Interpretation by Coupling Knowledge Graph and Deep Learning[J]. Geomatics and Information Science of Wuhan University, 2022, 47(8): 1176-1190. DOI: 10.13203/j.whugis20210652 |
| [6] | JI Shunping, LUO Chong, LIU Jin. A Review of Dense Stereo Image Matching Methods Based on Deep Learning[J]. Geomatics and Information Science of Wuhan University, 2021, 46(2): 193-202. DOI: 10.13203/j.whugis20200620 |
| [7] | ZHANG Liqiang, LI Yang, HOU Zhengyang, LI Xingang, GENG Hao, WANG Yuebin, LI Jingwen, ZHU Panpan, MEI Jie, JIANG Yanxiao, LI Shuaipeng, XIN Qi, CUI Ying, LIU Suhong. Deep Learning and Remote Sensing Data Analysis[J]. Geomatics and Information Science of Wuhan University, 2020, 45(12): 1857-1864. DOI: 10.13203/j.whugis20200650 |
| [8] | JU Yuanzhen, XU Qiang, JIN Shichao, LI Weile, DONG Xiujun, GUO Qinghua. Automatic Object Detection of Loess Landslide Based on Deep Learning[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11): 1747-1755. DOI: 10.13203/j.whugis20200132 |
| [9] | PAN Yin, SHAO Zhenfeng, CHENG Tao, HE Wei. Analysis of Urban Waterlogging Influence Based on Deep Learning Model[J]. Geomatics and Information Science of Wuhan University, 2019, 44(1): 132-138. DOI: 10.13203/j.whugis20170217 |
| [10] | FAN Heng, XU Jun, DENG Yong, XIANG Jinhai. Behavior Recognition of Human Based on Deep Learning[J]. Geomatics and Information Science of Wuhan University, 2016, 41(4): 492-497. DOI: 10.13203/j.whugis20140110 |
| 1. |
张爱竹，李忍忍，梁树能，孙根云，付航. 联合样本扩充和谱空迭代的高光谱影像分类. 武汉大学学报(信息科学版). 2025(01): 97-109 .
| |
| 2. |
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(07): 1090-1104 .
| |
| 3. |
高奎亮，刘冰，余岸竹，徐佰祺，胡伟，胡家玮. 高光谱影像少样例分类的无监督元学习方法. 测绘学报. 2023(11): 1941-1952 .
| |
| 4. |
张彬，刘亮，李晓杰，周伟. 基于深度学习的高光谱影像分类方法研究. 红外与毫米波学报. 2023(06): 825-833 .
| |
| 5. |
孙一帆，余旭初，谭熊，刘冰，高奎亮. 面向小样本高光谱影像分类的轻量化关系网络. 武汉大学学报(信息科学版). 2022(08): 1336-1348 .
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: