Enhancing spatial resolution for exploitation in hyperspectral imagery

Proceedings - Applied Imagery Pattern Recognition Workshop

Volumn 2002-January, Issue , 2002, Pages 19-25

  Rhody, Harvey E ^a  

^a ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Color; Fuses; High resolution imaging; Hyperspectral imaging; Hyperspectral sensors; Image resolution; Layout; Spatial resolution; Target recognition; Testing

Indexed keywords

COLOR; ELECTRIC FUSES; IMAGE FUSION; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; REMOTE SENSING; SPECTROSCOPY; TESTING;

HIGH-RESOLUTION IMAGING; HYPERSPECTRAL IMAGING; HYPERSPECTRAL SENSORS; LAYOUT; SPATIAL RESOLUTION; TARGET RECOGNITION;

PATTERN RECOGNITION;

EID: 62749184980     PISSN: 21642516     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AIPR.2002.1182250     Document Type: Conference Paper

References (5)

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2. H. N. Gross and J. R. Schott. Applications of spectral mixing to image fusion. In Proceedings of the 26th International Symposium on Remote Sensing of Environment, pages 428-431, March 1996.
3. K. Y. Lee. A Subpixel Scale Target Detection Algorithm for Hyperspectral. Imagery. PhD thesis, Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 2002.
4. C. K. Munechika, J. S. Warnick, C. Salvaggio, and J. R. Schott. Resolution enhancement of multispectral image data to improve classification accuracy. Phogrammetric Engineering and Remote Sensing.
5. G. D. Robinson, H. N. Gross, and J. R. Schott. Evaluation of two applications of spectral mixing models to image fusion. Remote Sensing of the Environment, 71: 272-281, 2000.