Special Focus on Deep Learning in Remote Sensing Image Processing
EDITORIAL Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 27

Special focus on deep learning in remote sensing image processing
Xu, Feng; Hu, Cheng; Li, Jun; Plaza, Antonio; Datcu, Mihai
Sci China Inf Sci, 2020, 63(4): 140300
Cite as: Xu F, Hu C, Li J, et al. Special focus on deep learning in remote sensing image processing. Sci China Inf Sci, 2020, 63: 140300, doi: 10.1007/s11432-020-2810-x

Special Focus on Deep Learning in Remote Sensing Image Processing
REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 148

Spatio-temporal fusion for remote sensing data: an overview and new benchmark
Li, Jun; Li, Yunfei; He, Lin; Chen, Jin; Plaza, Antonio
Sci China Inf Sci, 2020, 63(4): 140301
Keywords: spatio-temporal fusion (stf); multi-temporal remote sensing data; benchmark data; experimental validation
Cite as: Li J, Li Y F, He L, et al. Spatio-temporal fusion for remote sensing data: an overview and new benchmark. Sci China Inf Sci, 2020, 63: 140301, doi: 10.1007/s11432-019-2785-y

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 61

A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks
Li, Yunfei; Li, Jun; He, Lin; Chen, Jin; Plaza, Antonio
Sci China Inf Sci, 2020, 63(4): 140302
Keywords: spatio-temporal fusion (stf); convolutional neural networks (cnns); sensor bias-driven stf
Cite as: Li Y F, Li J, He L, et al. A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks. Sci China Inf Sci, 2020, 63: 140302, doi: 10.1007/s11432-019-2805-y

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 195

FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition
Hou, Xiyue; Ao, Wei; Song, Qian; Lai, Jian; Wang, Haipeng; Xu, Feng
Sci China Inf Sci, 2020, 63(4): 140303
Keywords: fusar-ship; gaofen-3; sar-ais matchup; automatic target recognition; multi-scale cfar; deep learning
Cite as: Hou X Y, Ao W, Song Q, et al. FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition. Sci China Inf Sci, 2020, 63: 140303, doi: 10.1007/s11432-019-2772-5

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 34

Deep-learning-based extraction of the animal migration patterns from weather radar images
Cui, Kai; Hu, Cheng; Wang, Rui; Sui, Yi; Mao, Huafeng; Li, Huayu
Sci China Inf Sci, 2020, 63(4): 140304
Keywords: weather radar; deep learning; aerial animal; migration pattern; chinese weather radar network
Cite as: Cui K, Hu C, Wang R, et al. Deep-learning-based extraction of the animal migration patterns from weather radar images. Sci China Inf Sci, 2020, 63: 140304, doi: 10.1007/s11432-019-2800-0

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 91

Hybrid first and second order attention Unet for building segmentation in remote sensing images
He, Nanjun; Fang, Leyuan; Plaza, Antonio
Sci China Inf Sci, 2020, 63(4): 140305
Keywords: building segmentation (bs); convolutional neural networks (cnns); remote sensing; high order pooling; attention
Cite as: He N J, Fang L Y, Plaza A, et al. Hybrid first and second order attention Unet for building segmentation in remote sensing images. Sci China Inf Sci, 2020, 63: 140305, doi: 10.1007/s11432-019-2791-7

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 21

Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation
Liu, Xiaobo; Qiao, Yulin; Xiong, Yonghua; Cai, Zhihua; Liu, Peng
Sci China Inf Sci, 2020, 63(4): 140306
Keywords: hyperspectral image; sample generation; generative adversarial network; deep learning; spatial-spectral information
Cite as: Liu X B, Qiao Y L, Xiong Y H, et al. Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation. Sci China Inf Sci, 2020, 63: 140306, doi: 10.1007/s11432-019-2798-9

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 24

Deep feature extraction and motion representation for satellite video scene classification
Gu, Yanfeng; Liu, Huan; Wang, Tengfei; Li, Shengyang; Gao, Guoming
Sci China Inf Sci, 2020, 63(4): 140307
Keywords: satellite videos; classification; convolutional neural network; cnn; long and short term memory; lstm; motion representation
Cite as: Gu Y F, Liu H, Wang T F, et al. Deep feature extraction and motion representation for satellite video scene classification. Sci China Inf Sci, 2020, 63: 140307, doi: 10.1007/s11432-019-2784-4