Hyperspectral Image Processing

This book PDF is perfect for those who love Technology & Engineering genre, written by Liguo Wang and published by Springer which was released on 15 July 2015 with total hardcover pages 315. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Hyperspectral Image Processing books below.

Hyperspectral Image Processing

Author	: Liguo Wang
File Size	: 53,7 Mb
Publisher	: Springer
Language	: English
Release Date	: 15 July 2015
ISBN	: 9783662474563
Pages	: 315 pages

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Hyperspectral Image Processing by Liguo Wang Book PDF Summary

Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.

Hyperspectral Image Processing by Liguo Wang,Chunhui Zhao

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Hyperspectral Image Analysis by Saurabh Prasad,Jocelyn Chanussot

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold

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Hyperspectral Imaging by Anonim

Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different

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Advances in Hyperspectral Image Processing Techniques by Chein-I Chang

Advances in Hyperspectral Image Processing Techniques Authoritative and comprehensive resource covering recent hyperspectral imaging techniques from theory to applications Advances in Hyperspectral Image Processing Techniques is derived from recent developments of hyperspectral imaging (HSI) techniques along with new applications in the field, covering many new ideas that have been explored

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Hyperspectral Imaging Technology in Food and Agriculture by Bosoon Park,Renfu Lu

Hyperspectral imaging or imaging spectroscopy is a novel technology for acquiring and analysing an image of a real scene by computers and other devices in order to obtain quantitative information for quality evaluation and process control. Image processing and analysis is the core technique in computer vision. With the continuous

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Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by Pramod K. Varshney,Manoj K. Arora

The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people

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Hyperspectral Imaging by Chein-I Chang

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral)

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The Future of Hyperspectral Imaging by Stefano Selci

This book includes some very recent applications and the newest emerging trends of hyper-spectral imaging (HSI). HSI is a very recent and strange beast, a sort of a melting pot of previous techniques and scientific interests, merging and concentrating the efforts of physicists, chemists, botanists, biologists, and physicians, to mention

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