Remote Sensing Satellite Image Processing
Resolution enhancement, restoration, and image processing for remote sensing satellite imagery
Overview
This project focuses on image processing techniques for remote sensing satellite imagery.
The research investigated spatial resolution enhancement, image restoration, point spread function estimation, motion estimation, and image stabilization methods for improving the visual and quantitative quality of remote sensing images.
Research Topics
- Remote sensing image processing
- Satellite image processing
- Spatial resolution enhancement
- Image super-resolution
- Image restoration
- Point spread function estimation
- Motion estimation
- Image stabilization
- Image enhancement
Research Period
2011–2014
Collaborations
- Changchun University of Science and Technology
- Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
Representative Publications
- Optimal Fermi Function Based PSF Calculation and Image Restoration, Acta Photonica Sinica, 2013.
- An Electronic Image Stabilization Technology Based on Improved Motion Estimation, Journal of Changchun University of Science and Technology, 2014.
Keywords
Remote Sensing, Satellite Image Processing, Image Super-Resolution, Spatial Resolution Enhancement, Image Restoration, Image Stabilization