| Patternnet: a benchmark dataset for performance evaluation of remote sensing image retrieval W Zhou, S Newsam, C Li, Z Shao ISPRS Journal of Photogrammetry and Remote Sensing, 2018 | 530 | 2018 |
| Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval W Zhou, S Newsam, C Li, Z Shao Remote Sensing 9 (5), 489, 2017 | 226 | 2017 |
| Multilabel remote sensing image retrieval based on fully convolutional network Z Shao, W Zhou, X Deng, M Zhang, Q Cheng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 202 | 2020 |
| Performance evaluation of single-label and multi-label remote sensing image retrieval using a dense labeling dataset Z Shao, K Yang, W Zhou Remote Sensing 10 (6), 964, 2018 | 138 | 2018 |
| High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder W Zhou, Z Shao, C Diao, Q Cheng Remote sensing letters 6 (10), 775-783, 2015 | 94 | 2015 |
| Improved color texture descriptors for remote sensing image retrieval Z Shao, W Zhou, L Zhang, J Hou journal of applied remote sensing 8 (1), 083584, 2014 | 62 | 2014 |
| Remote sensing image retrieval in the past decade: Achievements, challenges, and future directions W Zhou, H Guan, Z Li, Z Shao, MR Delavar IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 39 | 2023 |
| Region convolutional features for multi-label remote sensing image retrieval W Zhou, X Deng, Z Shao arXiv preprint arXiv:1807.08634, 2018 | 22 | 2018 |
| Deep feature representations for high-resolution remote sensing scene classification W Zhou, Z Shao, Q Cheng 2016 4th International Workshop on Earth Observation and Remote Sensing …, 2016 | 19 | 2016 |
| An effective hyperspectral image retrieval method using integrated spectral and textural features Z Shao, W Zhou, Q Cheng, C Diao, L Zhang Sensor Review 35 (3), 274-281, 2015 | 18 | 2015 |
| Remote sensing image retrieval with combined features of salient region ZF Shao, WX Zhou, QM Cheng The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2014 | 12 | 2014 |
| Multi-View Urban Scene Classification with a Complementary-Information Learning Model W Geng, W Zhou, S Jin Photogrammetric Engineering & Remote Sensing 88 (1), 65-72, 2022 | 9 | 2022 |
| Multi-view remote sensing image scene classification by fusing multi-scale attention Y SHI, W ZHOU, Z SHAO Geomatics and Information Science of Wuhan University 49 (3), 366-375, 2024 | 6 | 2024 |
| Multi-View Scene Classification Based on Feature Integration and Evidence Decision Fusion W Zhou, Y Shi, X Huang Remote Sensing 16 (5), 738, 2024 | 4 | 2024 |
| 卷积神经网络多层特征联合的遥感图像检索 杨珂， 李从敏， 周维勋， 程起敏， 任应超 测绘科学 44 (7), 9-15, 2019 | 4 | 2019 |
| 城市网格化社会服务管理系统设计与实现 侯继虎， 黄拥华， 邵振峰， 周维勋， 丁霖 地理空间信息 13 (1), 22-25, 2015 | 4 | 2015 |
| 基于堆栈稀疏自编码器的小麦赤霉病高光谱遥感检测 林芬芳， 陈星宇， 周维勋， 王倩， 张东彦 作物学报 49 (8), 2275-2287, 2023 | 3* | 2023 |
| Similarity Learning for Land Use Scene-Level Change Detection J Liu, W Zhou, H Guan, W Zhao IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 2 | 2024 |
| Dual-Task Network for Terrace and Ridge Extraction: Automatic Terrace Extraction via Multi-Task Learning J Zhang, J Zhang, X Huang, W Zhou, H Fu, Y Chen, Z Zhan Remote Sensing 16 (3), 568, 2024 | 2 | 2024 |
| 基于LDCNN特征提取的多核SVM高分辨率遥感影像场景分类 耿万轩， 周维勋， 金双根 测绘通报, 14-21, 2021 | 2 | 2021 |
Dr. Zhenfeng ShaoProfessor, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote SensingBestätigte E-Mail-Adresse bei whu.edu.cn