
Multi-resolution Image Fusion in Remote Sensing
$231.08
- Hardcover
252 pages
- Release Date
24 January 2019
Summary
Sharpen Your Vision: A Guide to Multi-Resolution Image Fusion in Remote Sensing
Written with clarity and precision, this book illuminates the techniques and applications of image fusion for remotely sensed multi-spectral images. Delve into core multi-resolution fusion concepts and explore state-of-the-art methods, including super-resolution and multi-stage guided filters.
Inside, you’ll find:
- In-depth analysis of degradation estimation, Gabor P…
Book Details
ISBN-13: | 9781108475129 |
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ISBN-10: | 1108475124 |
Author: | Manjunath V. Joshi, Kishor P. Upla |
Publisher: | Cambridge University Press |
Imprint: | Cambridge University Press |
Format: | Hardcover |
Number of Pages: | 252 |
Release Date: | 24 January 2019 |
Weight: | 440g |
Dimensions: | 237mm x 158mm x 15mm |
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About The Author
Manjunath V. Joshi
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.
Kishor P. Upla is Assistant Professor in Sardar Vallabhbhai National Institute of Technology, Surat (SVNIT). He received his Ph.D. degree from Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. He has fourteen years of teaching experience. His areas of interest include signal and image processing, multi-spectral and hyperspectral image analysis.
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