Vol. 63, No. 4, 2020

Special Focus on Deep Learning in Remote Sensing Image Processing
EDITORIAL Website SpringerLink Google Scholar

Special focus on deep learning in remote sensing image processing
Xu F, Hu C, Li J, et al
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(4): 140300, doi: 10.1007/s11432-020-2810-x

Special Focus on Deep Learning in Remote Sensing Image Processing
REVIEW Website SpringerLink Google Scholar

Spatio-temporal fusion for remote sensing data: an overview and new benchmark
Li J, Li Y F, He L, et al
Sci China Inf Sci, 2020, 63(4): 140301
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(4): 140301, doi: 10.1007/s11432-019-2785-y

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Website SpringerLink Google Scholar

A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks
Li Y F, Li J, He L, et al
Sci China Inf Sci, 2020, 63(4): 140302
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(4): 140302, doi: 10.1007/s11432-019-2805-y

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Website SpringerLink Google Scholar

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(4): 140303, doi: 10.1007/s11432-019-2772-5

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Website SpringerLink Google Scholar

Deep-learning-based extraction of the animal migration patterns from weather radar images
Cui K, Hu C, Wang R, et al
Sci China Inf Sci, 2020, 63(4): 140304
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(4): 140304, doi: 10.1007/s11432-019-2800-0

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Website SpringerLink Google Scholar

Hybrid first and second order attention Unet for building segmentation in remote sensing images
He N J, Fang L Y, Plaza A, et al
Sci China Inf Sci, 2020, 63(4): 140305
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(4): 140305, doi: 10.1007/s11432-019-2791-7

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Website SpringerLink Google Scholar

Cascade conditional generative adversarial nets for spatial-spectral hyperspectral sample generation
Liu X B, Qiao Y L, Xiong Y H, et al
Sci China Inf Sci, 2020, 63(4): 140306
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(4): 140306, doi: 10.1007/s11432-019-2798-9

Special Focus on Deep Learning in Remote Sensing Image Processing
RESEARCH PAPER Website SpringerLink Google Scholar

Deep feature extraction and motion representation for satellite video scene classification
Gu Y F, Liu H, Wang T F, et al
Sci China Inf Sci, 2020, 63(4): 140307
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(4): 140307, doi: 10.1007/s11432-019-2784-4