Manjunath V. Joshi

Multi-resolution Image Fusion in Remote Sensing (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 24. Januar 2019
• Englisch
• ISBN-13: 9781108683043
• Artikelnr.: 55120546

Autorenporträt

Manjunath V. Joshi has received his M.Tech. and Ph.D. degrees from the Indian Institute of Technology (IIT) Bombay. Currently, he is serving as a Professor with the Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. He has been involved in active research in the areas of computer vision, machine learning and cognitive radio and has several publications in quality journals and conferences. He has co-authored two books entitled Motion-Free Super Resolution (2005) and Digital Heritage Reconstruction using Super-resolution and Inpainting (2016). Dr Joshi has received Outstanding Researcher Award in Engineering by the Research Scholars Forum of IIT Bombay and Dr Vikram Sarabhai Award for 2006¿2007.

Inhaltsangabe

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.