Geologic Mapping Using Combined Analysis of Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and SIR-C/X-SAR Data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 2819, Issue , 1996, Pages 24-35

  Kruse, Fred A ^a  

^a ANALYTICAL IMAGING AND GEOPHYSICS LLC   (United States)

Author keywords

AVIRIS; Data Integration; Hyperspectral Imaging; Imaging Spectrometers; Mineral Mapping; N Dimensional Visualization; Radar; SIR C; Thematic Mapper; TIMS; X SAR

Indexed keywords

DATA INTEGRATION; DATA VISUALIZATION; GEOLOGICAL SURVEYS; INFRARED SPECTROMETERS; MAPPING; MASS SPECTROMETERS; MINERALS; MORPHOLOGY; RADAR; RADAR IMAGING; REMOTE SENSING; SPACE-BASED RADAR; SPECTROMETRY; SPECTROSCOPY; SURFACE MORPHOLOGY; SYNTHETIC APERTURE RADAR; TEXTURES; THERMAL INSULATING MATERIALS; VISUALIZATION;

AVIRIS; IMAGING SPECTROMETERS; MINERAL MAPPING; THEMATIC MAPPERS; TIMS; X-SAR;

HYPERSPECTRAL IMAGING;

EID: 85067992729     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.258078     Document Type: Conference Paper

References (23)

1. Boardman, J. W., 1993, Automated spectral unmixing of AVIRIS data using convex geometry concepts: in Summaries, Fourth JPL Airborne Geoscience Workshop, JPL Publication 93-26, v. 1, p. 11-14.
2. Boardman, J. W., and Kruse, F. A., 1994, Automated spectral analysis: a geological example using AVIRIS data, north Grapevine Mountains, Nevada: in Proceedings, ERIM Tenth Thematic Conference on Geologic Remote Sensing, Environmental Research Institute of Michigan, Ann Arbor, MI, p. 1-407-1-418.
3. Center for the Study of Earth from Space (CSES), 1992, Atmosphere REMoval Program (ATREM) User's Guide, Version 1.1, Center for the Study of Earth from Space, Boulder, Colorado, 24 p.
4. Kruse, F. A., Huntington, J. H., and Green, R. 0, 1996, Results from the 1995 AVIRIS Geology Group Shoot: in Proceedings, 2 "' International Airborne Remote Sensing Conference and Exhibition: Environmental Research Institute of Michigan (ERIM), Ann Arbor, v. I, p.1-211-1-220
5. Green, A. A., Berman, M., Switzer, P, and Craig, M. D., 1988, A transformation for ordering multispectral data in terms of image quality with implications for noise removal: IEEE Transactions on Geoscience and Remote Sensing, v. 26, no. 1, p. 65-74.
6. Boardman, J. W., 1991, Sedimentary facies analysis; a geophysical inverse problem: unpublished Ph. D. Thesis, University of Colorado, 212 p.
7. Boardman, J. W., Kruse, F. A., and Green, R. O., 1995, Mapping target signatures via partial unmixing of AVIRIS data: in Summaries, Fifth JPL Airborne Earth Science Workshop, JPL Publication 95-1, v. 1, p. 23-26.
8. Boardman, J. W., 1996, Determination of image endmembers using an automatic pixel purity algorithm: in Proceedings International Symposium on Optical Science, Engineering, and Instrumentation (SPIE) 4-9 August 1996, v. 2819, (in press).
9. Evans, D. L. (ed.), 1995, Spaceborne synthetic aperture radar: Current status and future directions: A Report to the Committee on Earth Sciences Space Studies Board, National Research Council: NASA Technical Memorandum 4679, NASA Scientific and Technical Information Office.
10. Stoffan, E. R., Evans, D. L., Schmullius, C., Holt, B., Plaut, J. J., van Zyl, J., Wall, S. D., and Way, J., 1996, Overviewof results of Spaceborne Imaging Radar-C, X-Band Synthetic Aperture Radar (SIR-C/X-SAR): IEEE Transactions on Geoscience and Remote Sensing, v. 33, no. 4, p. 817-828.
11. Sabins, F., F., 1987, Remote Sensing Principles and Interpretation: W. H. Freeman and Company, New York, 449 p.
12. Evans, D. L., Farr, T. G., Ford, J. P., Thompson, T. W, and Werner, C. L., 1986, Multipolarization radar images for geologic mapping and vegetation discrimination: IEEE Trans. Geoscience and Remote Sensing, v. GE-24, p. 246-257.
13. Elachi, C. 1987, Introduction to the Physics and Techniques ofRemote Sensing: Wiley, New York, 413 p.
14. Jordan, R. L., Huneycutt, B. L:., and Werner, M., 1996, The SIR-C/X-SAR Synthetic Aperture Radar System: ): IEEE Transactions on Geoscience and Remote Sensing, v. 33, no. 4, p. 829-839.
15. Palluconi, F. D., and Meeks, G. R., 1985, Thermal Infrared Multispectral Scanner (TIMS): An investigator's guide to TIMS data: Jet Pr opulsion Laboratory Publication 85-32.
16. Gillespie, A. R., Kahle, A. B., and Walker, R., 1986, Color enhancement of highly correlated images: I. Decorrelation and HSI-contrast stretches: Remote Sensing of Environment, v. 20., p. 209-235.
17. Kahle, A. B., and Goetz, A. F. H., 1983, Mineralogic information from a new airborne thermal infrared multispectral scanner: Science, v. 222, no. 4619, p. 24-27.
18. Rickman, D. L., and Grant, S. K., 1986, Nighttime TIMS, TMS, and chemical data from the Pyramid Mountains south of Lordsburg, New Mexico: in Proceedings of the Fourth Thematic Conference, International Symposium on Remote Sensing of Environment, Environmental Research Institute of Michigan, Ann Arbor, p. 363-364.
19. Kahie, A. B., 1987, Surface emittance, temperature, and thermal inertia derived from Thermal Infrared Multispectral Scanner (TIMS) data for Death Valley, California: Geophysics, v. 52, no. 7, p. 858-874.
20. Kruse, F. A., and Kierein-Young, K. S., 1990, Mapping physical properties of geologic materials by integration of diverse multispectral image data sets from the Geologic Remote Sensing Field Experiment (GRSFE), in Proceedings, IGARSS '90, College Park, Md, v. 2, p. 1351-1355.
21. Kruse, F. A., and Dietz, J. B., 1991, Integration of diverse remote sensing data sets for geologic mapping and resource exploration: SPIE Symposium on Remote Sensing for Geology and Geophysics, 1-5 April 1991, Orlando, Florida, v. 1492, p. 326-337.
22. Kierein-Young, K. 5., 1995, Integration of quantitative geophysical information from optical and radar remotely sensed data to characterize mineralogy and morphology of surfaces: Unpublished Ph. D. Dissertation, University of Colorado, Boulder, 220 p.
23. Kierein Young, K. 5., 1996, Integration of optical and radar data to characterize mineralogy and morphology of surfaces in Death Valley, California: IEEE Transactions on Geoscience and Remote Sensing (in press).