Abstract
A new approach for digital restoration of Landsat thematic mapper (TM) imagery is presented by implementing several filters as atmospheric filters that correct for turbulence blur, aerosol blur, and path radiance. Restoration results of the Kalman filter and the atmospheric Wiener filter are discussed along with restoration results based on wavelets and multifractals. A way to determine which is the best restoration result and how good is the restored image is given by a visual comparison and by examining several mathematical criteria.
| Original language | English |
|---|---|
| Pages (from-to) | 45-55 |
| Number of pages | 11 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 4790 |
| DOIs | |
| State | Published - 1 Dec 2002 |
| Event | Applications of Digital Image Processing XXV - Seattle, WA, United States Duration: 8 Jul 2002 → 10 Jul 2002 |
Keywords
- Adjacency effect
- Aerosol blur
- Atmospheric Wiener filter
- Contrast enhancement
- Kalman filter
- Modulation transfer function (MTF)
- Multifractals
- Optical depth (thickness)
- Turbulence blur
- Wavelets
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering