C. H. Chen
Image Processing for Remote Sensing C. H. Chen 1. izdaja

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Image Processing for Remote Sensing

C. H. Chen

1. izdaja

Edited by leaders in the field, with contributions by a panel of experts, this book covers unconventional mathematics methods for image processing in remote sensing. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for improved classification with the remote sensing data, Wiener filter-based method, and other modern approaches and methods of image processing for remotely sensed data. Each chapter explores a technique for dealing with a specific remote sensing problem. The book offers physical insights on the steps for constructing various digital seismic images. The volume examines image modelling, statistical image classifiers, change detection, independent component analysis, vertex component analysis, image fusion for better classification. It explores unique topics such as accuracy assessment and information-theoretic measure of multiband images and many chapters emphasize issues with synthetic aperture radar (SAR) images. Continued development on imaging sensors creates new opportunities and challenges in image processing for remote sensing. Image Processing for Remote Sensing - not only presents the most up to date developments of image processing for remote sensing but also suggests to readers the many challenging problems ahead for further study.

380 pages

Medij	Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami)
Izdano	31. decembra 2023
ISBN13	9781315894256
Založniki	Taylor & Francis Ltd
Strani	380
Dimenzije	150 × 220 × 20 mm · 664 g (Teža (ocenjena))
Jezik	Angleščina