Advancing plain vision transformer toward remote sensing foundation model D Wang*, Q Zhang*, Y Xu*, J Zhang, B Du, D Tao, L Zhang IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2022 | 257 | 2022 |
An empirical study of remote sensing pretraining D Wang*, J Zhang*, B Du, GS Xia, D Tao IEEE Transactions on Geoscience and Remote Sensing 61, 1-20, 2022 | 204 | 2022 |
Samrs: Scaling-up remote sensing segmentation dataset with segment anything model D Wang, J Zhang, B Du, M Xu, L Liu, D Tao, L Zhang Advances in Neural Information Processing Systems 36, 2024 | 110 | 2024 |
Adaptive spectral–spatial multiscale contextual feature extraction for hyperspectral image classification D Wang, B Du, L Zhang, Y Xu IEEE Transactions on Geoscience and Remote Sensing 59 (3), 2461-2477, 2020 | 103 | 2020 |
DCN-T: Dual context network with transformer for hyperspectral image classification D Wang, J Zhang, B Du, L Zhang, D Tao IEEE Transactions on Image Processing 32, 2536-2551, 2023 | 49 | 2023 |
Fully contextual network for hyperspectral scene parsing D Wang, B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021 | 49 | 2021 |
Extracting aquaculture ponds from natural water surfaces around inland lakes on medium resolution multispectral images Z Zeng, D Wang, W Tan, J Huang International Journal of Applied Earth Observation and Geoinformation 80, 13-25, 2019 | 47 | 2019 |
MTP: Advancing remote sensing foundation model via multi-task pretraining D Wang, J Zhang, M Xu, L Liu, D Wang, E Gao, C Han, H Guo, B Du, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 28 | 2024 |
RCSANet: A full convolutional network for extracting inland aquaculture ponds from high-spatial-resolution images Z Zeng, D Wang, W Tan, G Yu, J You, B Lv, Z Wu Remote Sensing 13 (1), 92, 2020 | 28 | 2020 |
ITER: Image-to-pixel representation for weakly supervised HSI classification J Yang, B Du, D Wang, L Zhang IEEE Transactions on Image Processing, 2023 | 16 | 2023 |
Spectral-spatial global graph reasoning for hyperspectral image classification D Wang, B Du, L Zhang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 16 | 2023 |
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model D Wang*, M Hu*, Y Jin*, Y Miao*, J Yang*, Y Xu*, X Qin*, J Ma*, L Sun*, ... arXiv preprint arXiv:2406.11519, 2024 | 13 | 2024 |
Hyperspectral image classification based on multi-scale information compensation D Wang, B Du, L Zhang, S Chu Remote sensing letters 11 (3), 293-302, 2020 | 7 | 2020 |
Revolutionizing agrifood systems with artificial intelligence: a survey T Chen, L Lv, D Wang, J Zhang, Y Yang, Z Zhao, C Wang, X Guo, H Chen, ... arXiv preprint arXiv:2305.01899, 2023 | 5 | 2023 |
LeMeViT: Efficient vision transformer with learnable meta tokens for remote sensing image interpretation W Jiang, J Zhang, D Wang, Q Zhang, Z Wang, B Du IJCAI, 2024 | 4 | 2024 |
Scaling Efficient Masked Autoencoder Learning on Large Remote Sensing Dataset F Wang, H Wang, D Wang, Z Guo, Z Zhong, L Lan, J Zhang, Z Liu, M Sun arXiv preprint arXiv:2406.11933, 2024 | 3 | 2024 |
Spectral-spatial graph reasoning network for hyperspectral image classification D Wang, B Du, L Zhang arXiv preprint arXiv:2106.13952, 2021 | 3 | 2021 |
CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation Z Gong*, Z Wei*, D Wang*, X Ma, H Chen, Y Jia, Y Deng, Z Ji, X Zhu, ... arXiv preprint arXiv:2410.22629, 2024 | 2 | 2024 |
HKNAS: Classification of hyperspectral imagery based on hyper kernel neural architecture search D Wang, B Du, L Zhang, D Tao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities T Chen*, L Lv*, D Wang*, J Zhang, Y Yang, Z Zhao, C Wang, X Guo, ... ACM Computing Surveys 57 (2), 1-37, 2024 | 1 | 2024 |