ORASIS framework - Benefits to working within the linear mixing model

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue , 2003, Pages 96-98

  Bowles, Jeffrey ^a   Chen, Wei ^a   Gillis, David ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

ATR; Compression; Hyperspectral

Indexed keywords

ABSORPTION; IMAGING TECHNIQUES; MATHEMATICAL MODELS; REAL TIME SYSTEMS; SENSORS; SPECTRUM ANALYSIS; COMPACTION; EARTH SCIENCES; REMOTE SENSING;

LINEAR MIXING MODELS;

EARTH ATMOSPHERE; RESEARCH LABORATORIES;

HYPERSPECTRAL; HYPERSPECTRAL DATA; LINEAR MIXING MODELS; NAVAL RESEARCH LABORATORY; REAL TIME; SPECTRAL ANGLE MAPPERS; TARGET IDENTIFICATION;

EID: 0242712382     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. R. O. Green et al.,"Imaging spectroscopy and the Airborne Visible Infrared Imaging Spectrometer (AVIRIS)," Remote Sens. Environ. 65, 227-248 (1998).
2. [R. G. Resmini, M. E. Kappus, W. S. Aldrich, J. C. Harsanyi, and M. Anderson, "Mineral mapping with HYperspectral Digital Imagery Collection Experiment (HYDICE) sensor-data at Cuprite, Nevada, USA," Int. J. Remote Sens. 18, 1553-1570 (1997).
3. C. O. Davis et al., "Ocean PHILLS hyperspectral imager: design, characterization, and calibration," Optics Express 10:4, 210-221, 2002.
4. Bowles et al., "The optical real time adaptive spectral identification system (ORASIS)," unpublished.
5. Joe Boardman, "Automating spectral unmixing of AVIRIS data using convex geometry concepts", Summaries of the Fourth Annual JPL Airborne Geoscience Workshop, 1, 11-14, JPL, Pasadena, 1995.
6. Jeffrey Bowles, Mark Daniel, John Grossmann, John Antoniades, Mark Baumback, and Peter Palmadesso, "Comparison of output from orasis and pixel purity calculations", Proceedings of the SPIE,. 3438, Page 148, 1998
7. M. Winter, "Fast autonomous spectral end-member determination in hyperspectral data," Proceedings of the Thirteenth International Conference on Applied Geologic Remote Sensing, Vol. II, pp 337-344, Vancouver, B.C., Canada, 1999.
8. J. Bowles et al., "New results from the NEMO/ORASIS compression algorithm," Proceedings of the SPIE, 3753, 226, 1999.