| Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification X Lv, D Ming, YY Chen, M Wang International Journal of Remote Sensing 40 (2), 506-531, 2019 | 114 | 2019 |
| Superpixel based land cover classification of VHR satellite image combining multi-scale CNN and scale parameter estimation Y Chen, D Ming, X Lv Earth Science Informatics 12 (3), 341-363, 2019 | 77 | 2019 |
| Farmland extraction from high spatial resolution remote sensing images based on stratified scale pre-estimation L Xu, D Ming, W Zhou, H Bao, Y Chen, X Ling Remote Sensing 11 (2), 108, 2019 | 66 | 2019 |
| Operational earthquake-induced building damage assessment using CNN-based direct remote sensing change detection on superpixel level Y Qing, D Ming, Q Wen, Q Weng, L Xu, Y Chen, Y Zhang, B Zeng International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 53 | 2022 |
| Review on high spatial resolution remote sensing image segmentation evaluation Y Chen, D Ming, L Zhao, B Lv, K Zhou, Y Qing Photogrammetric Engineering & Remote Sensing 84 (10), 629-646, 2018 | 49 | 2018 |
| Landslide susceptibility mapping using feature fusion-based CPCNN-ML in Lantau Island, Hong Kong Y Chen, D Ming, X Ling, X Lv, C Zhou IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 43 | 2021 |
| Delineation of cultivated land parcels based on deep convolutional networks and geographical thematic scene division of remotely sensed images L Xu, D Ming, T Du, Y Chen, D Dong, C Zhou Computers and Electronics in Agriculture 192, 106611, 2022 | 30 | 2022 |
| Susceptibility-guided landslide detection using fully convolutional neural network Y Chen, D Ming, J Yu, L Xu, Y Ma, Y Li, X Ling, Y Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 15 | 2022 |
| An Overview of Quantitative Experimental Methods for Segmentation Evaluation of High Spatial Remote Sensing Images Y Chen, D Ming, L Xu, L Zhao Journal of Geo-Information Science 19 (6), 818-830, 2017 | 11* | 2017 |
| Landslide hazard analysis based on SBAS-InSAR and MCE-CNN model: A case study of Kongtong, Pingliang Y Zhang, Y Chen, D Ming, Y Zhu, X Ling, X Zhang, X Lian Geocarto International, 1-22, 2022 | 10 | 2022 |
| Feature Engineering of Geohazard Susceptibility Analysis Based on the Random Forest Algorithm: Taking Tianshui City, Gansu Province, as an Example X Ling, Y Zhu, D Ming, Y Chen, L Zhang, T Du Remote Sensing 14 (22), 5658, 2022 | 8 | 2022 |
| Application of information value model based on symmetrical factors classification method in landslide hazard assessment. L Xiao, LIU Jiamei, W Tao, ZHU Yueqin, Y Lingling, C Yangyang Remote Sensing for Natural Resources 33 (2), 2021 | 6 | 2021 |
| Superpixel classification of high spatial resolution remote sensing image based on multi-scale cnn and scale parameter estimation Y Chen, D Ming The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 3 | 2019 |
| GaoFen-1 Remote Sensing Image Forest Extraction Using Object-based CNN J Huang, X Zheng, D Ming, Y Chen, K Zhou IOP Conference Series: Earth and Environmental Science 502 (1), 012039, 2020 | 1 | 2020 |
| Glacier remote sensing information extraction based on improved DeepLab v3 Y Ma, J Yu, Q Wu, X Xu, Y Chen Fourth International Conference on Geoscience and Remote Sensing Mapping …, 2023 | | 2023 |
| Interpretation and Analysis of Landslide Hazard Based on Earth Observation Data Y Chen China University of Geosciences (Beijing), 2022 | | 2022 |
| OBIA Classification of Remote Sensing Image Based on Convolutional Neural Network Y Chen China University of Geosciences (Beijing), 2018 | | 2018 |
Wen ZhouUniversity of Twente在 utwente.nl 的电子邮件经过验证
