| Symmetrical dense-shortcut deep fully convolutional networks for semantic segmentation of very-high-resolution remote sensing images G Chen, X Zhang, Q Wang, F Dai, Y Gong, K Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 169 | 2018 |
| Change detection based on Faster R-CNN for high-resolution remote sensing images Q Wang, X Zhang, G Chen, F Dai, Y Gong, K Zhu Remote sensing letters 9 (10), 923-932, 2018 | 157 | 2018 |
| Detection of vegetation coverage changes in the Yellow River Basin from 2003 to 2020 C Liu, X Zhang, T Wang, G Chen, K Zhu, Q Wang, J Wang Ecological Indicators 138, 108818, 2022 | 121 | 2022 |
| Geospatial object detection on high resolution remote sensing imagery based on double multi-scale feature pyramid network X Zhang, K Zhu, G Chen, X Tan, L Zhang, F Dai, P Liao, Y Gong Remote Sensing 11 (7), 755, 2019 | 89 | 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 | 76 | 2024 |
| Training small networks for scene classification of remote sensing images via knowledge distillation G Chen, X Zhang, X Tan, Y Cheng, F Dai, K Zhu, Y Gong, Q Wang Remote Sensing 10 (5), 719, 2018 | 73 | 2018 |
| Enlighten-GAN for super resolution reconstruction in mid-resolution remote sensing images Y Gong, P Liao, X Zhang, L Zhang, G Chen, K Zhu, X Tan, Z Lv Remote Sensing 13 (6), 1104, 2021 | 61 | 2021 |
| SDFCNv2: An improved FCN framework for remote sensing images semantic segmentation G Chen, X Tan, B Guo, K Zhu, P Liao, T Wang, Q Wang, X Zhang Remote Sensing 13 (23), 4902, 2021 | 36 | 2021 |
| An object-based supervised classification framework for very-high-resolution remote sensing images using convolutional neural networks X Zhang, Q Wang, G Chen, F Dai, K Zhu, Y Gong, Y Xie Remote sensing letters 9 (4), 373-382, 2018 | 35 | 2018 |
| Single object tracking in satellite videos: Deep Siamese network incorporating an interframe difference centroid inertia motion model K Zhu, X Zhang, G Chen, X Tan, P Liao, H Wu, X Cui, Y Zuo, Z Lv Remote Sensing 13 (7), 1298, 2021 | 32 | 2021 |
| Object-based classification framework of remote sensing images with graph convolutional networks X Zhang, X Tan, G Chen, K Zhu, P Liao, T Wang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 31 | 2021 |
| Convective clouds extraction from Himawari–8 satellite images based on double-stream fully convolutional networks X Zhang, T Wang, G Chen, X Tan, K Zhu IEEE Geoscience and Remote Sensing Letters 17 (4), 553-557, 2019 | 31 | 2019 |
| Detecting individual plants infected with pine wilt disease using drones and satellite imagery: a case study in Xianning, China P Cai, G Chen, H Yang, X Li, K Zhu, T Wang, P Liao, M Han, Y Gong, ... Remote Sensing 15 (10), 2671, 2023 | 18 | 2023 |
| A linear pushbroom satellite image epipolar resampling method for digital surface model generation P Liao, G Chen, X Zhang, K Zhu, Y Gong, T Wang, X Li, H Yang ISPRS Journal of Photogrammetry and Remote Sensing 190, 56-68, 2022 | 17 | 2022 |
| Distinguishable keypoint detection and matching for optical satellite images with deep convolutional neural networks X Zhang, P Liao, G Chen, K Zhu, X Tan, T Wang, X Li, H Wu International Journal of Applied Earth Observation and Geoinformation 109 …, 2022 | 12 | 2022 |
| A superpixel-guided unsupervised fast semantic segmentation method of remote sensing images G Chen, C He, T Wang, K Zhu, P Liao, X Zhang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 11 | 2022 |
| Multi-oriented rotation-equivariant network for object detection on remote sensing images K Zhu, X Zhang, G Chen, X Li, P Cai, P Liao, T Wang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 11 | 2022 |
| Haze removal from a single remote sensing image based on a fully convolutional neural network L Ke, P Liao, X Zhang, G Chen, K Zhu, Q Wang, X Tan Journal of Applied Remote Sensing 13 (3), 036505-036505, 2019 | 11 | 2019 |
| High-resolution satellite video single object tracking based on thicksiam framework X Zhang, K Zhu, G Chen, P Liao, X Tan, T Wang, X Li GIScience & Remote Sensing 60 (1), 2163063, 2023 | 6 | 2023 |
| 基于深度学习的遥感影像地物目标检测和轮廓提取一体化模型 张晓东， 张力飞， 陈关州， 朱坤 测绘地理信息, 2019 | 5 | 2019 |
Guanzhou Chen (陈关州)Wuhan universityAdresă de e-mail confirmată pe whu.edu.cn
