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Can I read Image Processing for Remote Sensing on EtoBox?

Image Processing for Remote Sensing by Chen C.H. (ed.) is a nonfiction available to read on EtoBox.

What is Image Processing for Remote Sensing about?

<p>Edited by leaders in the field, with contributions by a panel of experts, <b>Image Processing for Remote Sensing</b> explores new and unconventional mathematics methods. 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.</p> <p>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 modeling, 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.</p> <p>Continued development on imaging sensors creates new opportunities and challenges in image processing for remote

Who reads Image Processing for Remote Sensing?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Chen C.H. (ed.)
Publisher
CRC Press/Taylor & Francis Group
Published
2008
Language
EN
ISBN
9781420066654
Category
nonfiction
Subjects
Engineering, Mathematics, Anthropology

Other editions & translations

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