Remote sensing images super-resolution with deep convolution networks

Author:

Ran QiongORCID,Xu Xiaodong,Zhao Shizhi,Li Wei,Du Qian

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference39 articles.

1. Anwer RM, Khan FS, van de Weijer J, Molinier M, Laaksonen J (2018) Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification. ISPRS J Photogramm Remote Sens 138:74–85

2. Burger HC, Schuler CJ, Harmeling S (2012) Image denoising: Can plain neural networks compete with bm3d? In: 2012 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 2392–2399

3. Candès EJ, et al (2006) Compressive sampling. In: Proceedings of the international congress of mathematicians, vol 3, Madrid, Spain, pp 1433–1452

4. Chang H, Yeung D-Y, Xiong Y (2004) Super-resolution through neighbor embedding. In: 2004. CVPR 2004. Proceedings of the 2004 IEEE computer society conference on computer vision and pattern recognition, vol 1. IEEE, pp I–I

5. Chen C, Fowler J (2012) Single-image super-resolution using multihypothesis prediction. In: Asilomar conference on signals, and computers, Pacific Grove, CA, pp 608–612

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