gabor matlab code for hyperspectral image

Abstract

Sparse-representation-based classification (SRC) assigns a test sample to the class with minimum representation error via a sparse linear combination of all the training samples, which has successfully been applied to several pattern recognition problems. According to compressive sensing theory, the l1-norm minimization could yield the same sparse solution as the l0 norm under certain conditions. However, the computational complexity of the l1-norm optimization process is often too high for l ....etc

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To get full information or details of dimension reduction in hyperspectral image matlab code please have a look on the pages

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http://seminarsprojects.net/Thread-towards-real-time-compression-of-hyperspectral-images-using-virtex-ii-fpgas

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Infrared thermography (IRT), thermal imaging, and thermal video are examples of infrared imaging science. Thermographic cameras usually detect radiation in the long-infrared range of the electromagnetic spectrum (roughly 9,000 14,000 nanometers or 9 14 m) and produce images of that radiation, called thermograms. Since infrared radiation is emitted by all objects with a temperature above absolute zero according to the black body radiation law, thermography makes it possible to see one's environment with or without visible illumination. The am ....etc

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HYPERSPECTRAL IMAGING


INTRODUCTION

With the advent of new technologies, the field of remote sensing too has gained a new height. Hyperspectral imaging collects and processes information from across electromagnetic spectrum. The most significant recent breakthrough in remote sensing has been the development of hyperspectral sensors and software to analyze the resulting image data. Fifteen years ago only spectral remote sensing experts had access to hyperspectral images or softwar ....etc

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Why Use Hyperspectral Imagery



Introduction

While multispectral images have

been in regular use since the 1970s,

the widespread use of hyperspectral

images is a relatively recent trend.

Hyperspectral imaging, also known as im-

aging spectrometry, is now a reasonably fa-

Wmiliar concept in the world of remote sensing.

However, for many remote sensing specialists who

have not yet had the opportunity to use hyperspectral imagery in ....etc

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http://seminarsprojects.net/Thread-non-visible-imaging?pid=55294#pid55294

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Towards Real-Time Compression of Hyperspectral Images Using Virtex-II FPGAs
Antonio Plaza
Department of Computer Science, University of Extremadura
Avda. de la Universidad s/n, E-10071 Caceres, Spain


Abstract.
Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been devoted to designing and developing compression algorithms for hyperspectral imagery. Unfortunately, most availab ....etc

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