Multi-resolution image fusion in remote sensing / Manjunath V. Joshi, Kishor P. Upla.
By: Joshi, Manjunath V [author.]
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Contributor(s): Upla, Kishor P [author.].
Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2019Description: 1 online resource (xx, 234 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781108566285 (ebook).Subject(s): Multispectral imaging | Computer visionAdditional physical formats: Print version: : No titleDDC classification: 006.3/7 Online resources: Click here to access online Summary: 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.
Title from publisher's bibliographic system (viewed on 11 Dec 2018).
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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