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Multi-resolution Image Fusion in Remote Sensing

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dc.contributor.authorJoshi, Manjunath V
dc.contributor.authorUpla, Kishor p
dc.date.accessioned2025-09-22T09:07:59Z
dc.date.issued2019-03-01
dc.descriptionWritten 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.
dc.identifier.citationManjunath V. Joshi, and Kishor P. Upla, "Multi-resolution Image Fusion in Remote Sensing," Cambridge: Cambridge University Press, 2019. doi: 10.1017/9781108566285, ISBN: 9781108566285
dc.identifier.doi10.1017/9781108566285
dc.identifier.isbn9781108566285
dc.identifier.urihttps://ir.daiict.ac.in/handle/dau.ir/2215
dc.language.isoen
dc.publisherCambridge University Press, Cambridge
dc.titleMulti-resolution Image Fusion in Remote Sensing
dc.typeBook
dspace.entity.typePublication
relation.isAuthorOfPublication0cc582ea-c277-4cd8-a206-5a66edcb07d5
relation.isAuthorOfPublication.latestForDiscovery0cc582ea-c277-4cd8-a206-5a66edcb07d5

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