Multi-resolution Image Fusion in Remote Sensing

Written using clear and accessible language, this useful guide discusses fundamental concepts and practices of multi-resolution image fusion.

Manjunath V. Joshi (Author), Kishor P. Upla (Author)

9781108475129, Cambridge University Press

Hardback, published 24 January 2019

252 pages
23.7 x 15.8 x 1.5 cm, 0.44 kg

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.

Preface
Acknowledgement
Dedication
List of figures
List of tables
1. Introduction
2. Literature review
3. Image fusion using different edge preserving filters
4. Image fusion: model based approach with degradation estimation
5. Use of self-similarity and Gabor Prior
6. Image fusion: application to super-resolution of natural images
7. Conclusions and directions for future research
Bibliography
Index.

Subject Areas: Image processing [UYT], Geographical information systems [GIS & remote sensing RGW]