| End-to-end change detection for high resolution satellite images using improved UNet++ D Peng, Y Zhang, H Guan Remote Sensing 11 (11), 1382, 2019 | 632 | 2019 |
| SemiCDNet: A semisupervised convolutional neural network for change detection in high resolution remote-sensing images D Peng, L Bruzzone, Y Zhang, H Guan, H Ding, X Huang IEEE Transactions on Geoscience and Remote Sensing 59 (7), 5891-5906, 2020 | 232 | 2020 |
| CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery Z Zheng, Y Wan, Y Zhang, S Xiang, D Peng, B Zhang ISPRS Journal of Photogrammetry and Remote Sensing 175, 247-267, 2021 | 127 | 2021 |
| Object-based change detection for VHR images based on multiscale uncertainty analysis Y Zhang, D Peng, X Huang IEEE Geoscience and Remote Sensing Letters 15 (1), 13-17, 2017 | 87 | 2017 |
| SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery D Peng, L Bruzzone, Y Zhang, H Guan, P He International Journal of Applied Earth Observation and Geoinformation 103 …, 2021 | 59 | 2021 |
| A comparative land-cover classification feature study of learning algorithms: DBM, PCA, and RF using multispectral LiDAR data S Pan, H Guan, Y Yu, J Li, D Peng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 39 | 2019 |
| Object-based change detection from satellite imagery by segmentation optimization and multi-features fusion D Peng, Y Zhang International journal of remote sensing 38 (13), 3886-3905, 2017 | 36 | 2017 |
| Full-level domain adaptation for building extraction in very-high-resolution optical remote-sensing images D Peng, H Guan, Y Zang, L Bruzzone IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 30 | 2021 |
| Multi-scale context extractor network for water-body extraction from high-resolution optical remotely sensed images J Kang, H Guan, D Peng, Z Chen International Journal of Applied Earth Observation and Geoinformation 103 …, 2021 | 28 | 2021 |
| Unsupervised change detection method based on saliency analysis and convolutional neural network D Peng, H Guan Journal of Applied Remote Sensing 13 (2), 024512-024512, 2019 | 24 | 2019 |
| Adapting segment anything model for change detection in VHR remote sensing images L Ding, K Zhu, D Peng, H Tang, K Yang, L Bruzzone IEEE Transactions on Geoscience and Remote Sensing, 2024 | 23 | 2024 |
| A convolutional capsule network for traffic-sign recognition using mobile LiDAR data with digital images H Guan, Y Yu, D Peng, Y Zang, J Lu, A Li, J Li IEEE Geoscience and Remote Sensing Letters 17 (6), 1067-1071, 2019 | 22 | 2019 |
| Road marking extraction in UAV imagery using attentive capsule feature pyramid network H Guan, X Lei, Y Yu, H Zhao, D Peng, JM Junior, J Li International Journal of Applied Earth Observation and Geoinformation 107 …, 2022 | 15 | 2022 |
| Building change detection by combining lidar data and ortho image D Peng, Y Zhang The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 15 | 2016 |
| Affine-function transformation-based object matching for vehicle detection from unmanned aerial vehicle imagery S Cao, Y Yu, H Guan, D Peng, W Yan Remote Sensing 11 (14), 1708, 2019 | 14 | 2019 |
| Robust feature matching with spatial smoothness constraints X Huang, X Wan, D Peng Remote Sensing 12 (19), 3158, 2020 | 12 | 2020 |
| Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big data Y Li, X Li, Y Zhang, D Peng, L Bruzzone International Journal of Applied Earth Observation and Geoinformation 120 …, 2023 | 11 | 2023 |
| Object-based change detection method using refined Markov random field D Peng, Y Zhang Journal of Applied Remote Sensing 11 (1), 016024-016024, 2017 | 9 | 2017 |
| EMS-CDNet: an efficient multi-scale-fusion change detection network for very high-resolution remote sensing images Z Zheng, Y Wan, Y Zhang, K Yang, R Xiao, C Lin, Q Wu, D Peng International Journal of Remote Sensing 43 (14), 5252-5279, 2022 | 5 | 2022 |
| Object-oriented change detection method based on spectral–spatial–saliency change information and fuzzy integral decision fusion for HR remote sensing images C Ge, H Ding, I Molina, Y He, D Peng Remote Sensing 14 (14), 3297, 2022 | 5 | 2022 |
Haiyan GuanProfessor, Nanjing University of Information Science & Technology在 nuist.edu.cn 的电子邮件经过验证
