Discrete Wavelet Transform-Based Satellite Image Resolution Enhancement

By Hasan Demirel, Gholamreza Anbarjafari. IEEE Transactions on Geoscience and Remote Sensing, 2011

349 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/bcd947f2dbfdbb60b63ef45d5a1ded570c8bd81a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Radu Timofte
3. Chen Change Loy
4. Ming-Hsuan Yang
5. Chao Dong
6. Lei Zhang
7. Wenzhe Shi
8. Yi Yang

Citations in the corpus

• Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation (2018, methodology): “SR is widely used in many fields ranging from medical imaging [7] to satellite imaging [2] and surveillance [38].”
• Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation (2016, background): “SR aims at recovering a high-resolution (HR) image or video from its low-resolution (LR) version, and finds direct applications ranging from medical imaging [38, 34] to satellite imaging [5], as well as facilitating tasks such as face recognition [13].”