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  4. Multi-resolution Image Fusion in Remote Sensing

Publication:
Multi-resolution Image Fusion in Remote Sensing

Date

2019-03-01

Authors

Joshi, Manjunath VORCID 0000-0002-1842-9118
Upla, Kishor p

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Cambridge University Press, Cambridge

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Description

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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Citation

Manjunath V. Joshi, and Kishor P. Upla, "Multi-resolution Image Fusion in Remote Sensing," Cambridge: Cambridge University Press, 2019. doi: 10.1017/9781108566285, ISBN: 9781108566285

URI

https://ir.daiict.ac.in/handle/dau.ir/2215

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