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  3. Multi-resolution Image Fusion in Remote Sensing
  • Cited by 6
  • Manjunath V. Joshi, Dhirubhai Ambani Institute of Information and Communication Technology, Gujarat, Kishor P. Upla, Sardar Vallabhbhai National Institute of Technology, Surat
Publisher:
Cambridge University Press
Online publication date:
December 2018
Print publication year:
2019
Online ISBN:
9781108566285
DOI:
https://doi.org/10.1017/9781108566285
Subjects:
Earth and Environmental Sciences, Remote Sensing and Gis, Engineering, Image Processing and Machine Vision
Information

Book 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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