DocumentCode :
1785378
Title :
A comparison of real and simulated airborne hyperspectral imagery
Author :
Cui, Zhigao ; Kerekes, J. ; DeAngelis, C. ; Brown, Shannon ; Nance, C.E.
Author_Institution :
Chester F. Carlson Center for Imaging Sci., Rochester Inst. of Technol., Rochester, NY, USA
fYear :
2014
fDate :
7-7 Nov. 2014
Firstpage :
19
Lastpage :
22
Abstract :
Simulated remote sensing imagery can be very valuable for instrument design studies, analysis algorithm development and validation, and in verification of real image phenomenology. However, the question of simulation model validity and verification is important. This paper contributes to this topic by presenting a comprehensive comparison methodology between real and simulated hyperspectral imagery. SpecTIR acquired a real hyperspectral image including 360 bands spanning from 400 to 2450 nm, while the simulated one was generated with DIRSIG, an image generation tool developed by the Rochester Institute of Technology. This paper analyzes the image covariance matrix eigenstructure, and presents results for classification, unmixing and sub-pixel target detection. The comparison demonstrates that the simulated image captures the dominant characteristics of the real image.
Keywords :
covariance matrices; eigenvalues and eigenfunctions; geophysical image processing; hyperspectral imaging; image classification; remote sensing; DIRSIG; Rochester Institute of Technology; SpecTIR; analysis algorithm development; analysis algorithm validation; image covariance matrix eigenstructure; image generation tool; instrument design; real airborne hyperspectral imagery; real image phenomenology; simulated airborne hyperspectral imagery; simulated image captures; simulated remote sensing imagery; simulation model validity; simulation model verification; subpixel target detection; wavelength 400 nm to 2450 nm; Accuracy; Atmospheric modeling; Cotton; Eigenvalues and eigenfunctions; Hyperspectral imaging; Object detection; classification; hyperspectral image simulation; performance comparison; sub-pixel target detection; unmixing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing Workshop (WNYISPW), 2014 IEEE Western New York
Conference_Location :
Rochester, NY
Print_ISBN :
978-1-4799-7702-4
Type :
conf
DOI :
10.1109/WNYIPW.2014.6999478
Filename :
6999478
Link To Document :
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