Multi-resolution image fusion in remote sensing
Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super resolution and multi stage guided filters. It includes in depth analysis on degradation estimation, Gabor Prior and Markov Random Field (MRF) Prior. Concepts such as guided filter and difference of Gaussian are disc…
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- Full title :Multi-resolution image fusion in remote sensing / Manjunath V. Joshi, Kishor P. Upla.
Summary
Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super resolution and multi stage guided filters. It includes in depth analysis on degradation estimation, Gabor Prior and Markov Random Field (MRF) Prior. Concepts such as guided filter and difference of Gaussian are discussed comprehensively. Novel techniques in multi-resolution fusion by making use of regularization are explained in detail. It also includes different quality assessment measures used in testing the quality of fusion. Real-life applications and plenty of multi-resolution images are provided in the text for enhanced learning.
Read More ↓Edition Statements
- Publication Date:©2019
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge
- Language:eng
- Publication Date:©2019
The Physical Object
- Description:1 online resource (xx, 234 pages)
Edition Identifiers
- ISBN:9781108566285, 1108566286
- oclc:on1083348615
- LC Classification:TA1634
- Dewey Decimal:006.3/7
Table of Contents
Introduction -- Literature review -- Image fusion using different edge-preserving filters -- Image fusion: model based approach with degradation estimation -- Use of self-similarity and Gabor prior -- Image fusion: application to super-resolution of natural images -- Conclusion and directions for future research.
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