Image misregistration effects on hyperspectral change detection

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6966, Issue , 2008, Pages

  Meola, Joseph ^a   Eismann, Michael T ^a  

^a AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

Change detection; Chronochrome; Covariance equalization; Hyperspectral; Misregistration

Indexed keywords

(E ,2E) THEORY; CHANGE DETECTION; CHANGE DETECTION ANALYSIS; COVARIANCE EQUALIZATION; CROSS-COVARIANCE; DATA COLLECTED; GAIN AND OFFSET; HYPER-SPECTRAL; IMAGING SPECTROMETERS; INDIVIDUAL (PSS 544-7); LINEAR PREDICTION METHOD (LP); LINEAR PREDICTOR (LP); MISREGISTRATION; MULTI-SPECTRAL (MS); NEAR INFRA-RED (NIR); PREDICTION ERRORS; REGISTRATION ERRORS; ULTRASPECTRAL;

ALGORITHMS; COMPUTER NETWORKS; CONDUCTIVE PLASTICS; COVARIANCE MATRIX; EIGENVALUES AND EIGENFUNCTIONS; ERROR ANALYSIS; EVOLUTIONARY ALGORITHMS; FIBER OPTIC SENSORS; FORECASTING; MATRIX ALGEBRA; PAPER; SIGNAL DETECTION; STATISTICAL METHODS; STATISTICS; TECHNOLOGY;

ERROR DETECTION;

EID: 44949184701     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.775435     Document Type: Conference Paper

References (6)

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3. A. Schaum and A. Stocker, "Hyperspectral Change Detection and Supervised Matched Filtering Base on Covariance Equalization." Proceedings of SPIE Vol. 5425 (2004): 77-90.
4. A. Schaum and M. McHugh, Analytic Methods of Image Registration: Displacement Estimation and Resampling, Report 9298 (Naval Research Laboratory, 1991).
5. J. Meola, Analysis of Hyperspectral Change and Target Detection as Affected by Vegetation and Illumination Variations. Thesis. University of Dayton, 2006.
6. J. Meola, "Analysis of Hyperspectral Change and Target Detection as Affected by Vegetation and Illumination Variations," Proceedings of SPIE Vol. 6565 (2007): 65651S-1 -65651S-12.