Multispectral, hyperspectral, and LiDAR remote sensing and geographic information fusion for improved earthquake response

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 9088, Issue , 2014, Pages

  Kruse, F A ^a   Kim, A M ^a   Runyon, S C ^a   Carlisle, Sarah C ^a   Clasen, C C ^a,b   Esterline, C H ^a   Jalobeanu, A ^a   Metcalf, J P ^a   Basgall, P L ^a,b   Trask, D M ^a   Olsen, R C ^a  

^a NAVAL POSTGRADUATE SCHOOL   (United States)

^b National Geospatial Intelligence Agency   (United States)

Author keywords

Change detection; Data fusion; Disaster response; Earthquake response; HSI; Hyperspectral; LiDAR; Multimodal remote sensing; Multispectral; Remote damage assessment

Indexed keywords

CIVIL DEFENSE; DAMAGE DETECTION; DATA FUSION; DISASTERS; EARTHQUAKES; OPTICAL RADAR; REMOTE SENSING; RISK MANAGEMENT; SIGNAL DETECTION; SPECTROSCOPY; TECHNOLOGY TRANSFER;

CHANGE DETECTION; DAMAGE ASSESSMENTS; DISASTER RESPONSE; EARTHQUAKE RESPONSE; HSI; HYPERSPECTRAL; MULTI-MODAL; MULTI-SPECTRAL;

EMERGENCY SERVICES;

EID: 84906254902     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2049725     Document Type: Conference Paper

References (25)

1. Porter, W. M. and Enmark, H. E., "System overview of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)," in Proceedings Society of Photo-Optical Instrumentation Engineers (SPIE), 834, 22-31, (1987).
2. Green, R., "AVIRIS and Related 21st Century Imaging Spectrometers for Earth and Space Science," in High Performance Computing in Remote Sensing, Chapman and Hall/CRC Press, 335-358, (2007).
3. Green, R. O., Eastwood, M. L., and Sarture, C. M., "Imaging Spectroscopy and the Airborne Visible Infrared Imaging Spectrometer (AVIRIS)," Remote Sensing of Environment, 65, 227-248, (1998). (Pubitemid 29360700)
4. Goetz, A. F. H., Vane, G., Solomon, J. E., and Rock, B. N., "Imaging spectrometry for earth remote sensing," Science, 228, 1147-1153 (1985).
5. Kruse, F. A., Bidell, R. L., Taranik, J. V., Peppin, W. A., Weatherbee, O., and Calvin, W. M., "Mapping alteration minerals at prospect, outcrop, and drill core scales using imaging spectrometry," International Journal of Remote Sensing, (http://www.tandfonline.com/doi/pdf/10.1080/01431161.2011. 600350 ), (2011).
6. Kruse, F. A., Clasen, C. C., Kim, A. M., and Carlisle, S. C., "Use of Imaging Spectrometer Data and Multispectral Imagery for Improved Earthquake Response," in Imaging and Applied Optics Technical Digest, 24 June-28 June 2012, Monterey, CA, USA, Optical Society of America (paper RM2E.1.pdf on CD-ROM). (2012).
7. Kruse, F. A., Clasen, C. C., Kim, A. M., and Carlisle, S. C., "Effects of spatial and spectral resolution on remote sensing for disaster response," Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS 2012), 22-27 July 2012, Munich, Germany, (2012).
8. Gao, B. and Goetz, A. F. H., "Column Atmospheric Water Vapor and Vegetation Liquid Water Retrievals From Airborne Imaging Spectrometer Data," Journal of Geophysical Research, 95, 3549-3564, (1990).
9. IMSPEC LLC, "ACORN 6 User's Manual," IMSPEC LLC, 121 p., http://www.imspec.com, (2010).
10. Kruse, F. A., Boardman, J. W., and Huntington, J. F., "Evaluation and Validation of EO-1 Hyperion for Mineral Mapping," Transactions on Geoscience and Remote Sensing (TGARS), 41, 1388-1400, (2003).
11. Boardman, J. W. and Kruse, F. A., "Analysis of Imaging Spectrometer Data Using N-Dimensional Geometry and A Mixture-Tuned Matched Filtering (MTMF) Approach," Transactions on Geoscience and Remote Sensing (TGARS), Special Issue on Spectral Unmixing of Remotely Sensed Data, 49, 4138-4152, (2011).
12. Kruse, F. A., "Spectral-Feature-Based Analysis of Reflectance and Emission Spectral Libraries and Imaging Spectrometer Data," Proceedings SPIE Symposium on Defense &Security, 23-27 April 2012, Baltimore, MD, (2012).
13. Matthew, M. W., Adler-Golden, S. M., Berk, A., Felde, G., Anderson, G. P., Gorodetzky, D., Paswaters, S., and Shippert, M., "Atmospheric correction of spectral imagery: evaluation of the FLAASH algorithm with AVIRIS data," Proceedings SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, Orlando, FL, 5093, 474-482, (2003).
14. Kruse, F. A. and Perry, S. L., "Improving multispectral mapping by spectral modeling with hyperspectral signatures," Journal of Applied Remote Sensing, 3 (dx.doi.org/10.1117/1.3081548), (2009).
15. Kim, A. M., Kruse, F. A., Olsen, R. C., and Clasen, C. C., "Extraction of Rooftops from LiDAR and Multispectral Imagery," in Imaging and Applied Optics Technical Digest, 24 June-28 June 2012, Monterey, CA, USA, Optical Society of America (paper RTu2E.1.pdf on CDROM). (2012).
16. Kruse, F. A., "Expert system analysis of hyperspectral data," Proceedings SPIE Defense and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, The International Society for Optical Engineering (SPIE), 6966, p. 69660Q-1-69660Q-12., (2008).
17. Kruse, F. A., "The effects of spatial resolution, spectral resolution, and SNR on geologic mapping using hyperspectral data, northern Grapevine Mountains, Nevada," Proceedings of the 9th JPL Airborne Earth Science Workshop, Jet Propulsion Laboratory Publication 00-18, 261-269, (2000).
18. Kruse, F. A., "Predictive subpixel spatial/spectral modeling using fused HSI and MSI data," Proceedings SPIE Symposium on Defense &Security, 12-16 April 2004, Orlando, FL, 5425, 414-424, (2004).
19. Kruse, F. A., Taranik, J. V., Coolbaugh, M., Michaels, J., Littlefield, E. F., Calvin, W. M., and Martini, B. A., "Effect of Reduced Spatial Resolution on Mineral Mapping Using Imaging Spectrometry-Examples Using HyspIRI-Simulated Data," Remote Sensing, 3, 1584-1602, (2011).
20. Tucker, C. J., "Red and photographic infrared linear combinations for monitoring vegetation," Remote Sensing of Environment, 8, 127-150, (1979).
21. NPS, "Naval Postgraduate School National Defense Uninversity RELIEF 12-4," http://www.nps.edu/Academics/Schools/GSOIS/Departments/IS/Research/ FX/docs/RELIEF12-4-QLR.pdf, 69-109, (2012).
22. Basgall, P. L., Kruse, F. A., and Olsen, R. C., "Comparison of LiDAR and Stereo Photogrammetric Point Clouds for Change Detection," Proceedings SPIE Symposium on Defense &Security, 5-9 May 2014, Baltimore, MD., (2014).
23. Jalobeanu, A., Kim, A. M., Runyon, S. C., Olsen, R. C., and Kruse, F. A., "Uncertainty assessment and probabilistic change detection using terrestrial and airborne LiDAR," Proceedings SPIE Symposium on Defense &Security, 5-9 May 2014, Baltimore, MD., (2014).
24. Kim, A. M., Runyon, S. C., Jalobeanu, A., Esterline, C. H., and Kruse, F. A., "LiDAR Change Detection using Small-scale Building Models," Proceedings SPIE Symposium on Defense &Security, 5-9 May 2014, Baltimore, MD., (2014).
25. Metcalf, J. P., Kim, A. M., and Kruse, F. A., "Correlation between LiDAR-derived intensity and passive optical imagery," Proceedings SPIE Symposium on Defense &Security, 5-9 May 2014, Baltimore, MD., (2014).