Low latency DESDynI data products for disaster response, resource management and other applications

34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring

Volumn , Issue , 2011, Pages

  Doubleday, J ^a   Chien, S ^a   Lou, Y ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Applications; Classification; Disaster management; Onboard processing; Polarimetry; Realtime; SAR

Indexed keywords

AGRICULTURAL DEVELOPMENT; DISASTER MANAGEMENT; NEAR-REAL-TIME DATA; ON-BOARD PROCESSING; QUANTITATIVE RESULT; REAL TIME; RESOURCE MANAGEMENT; SAR;

APPLICATIONS; BACKSCATTERING; CLASSIFICATION (OF INFORMATION); DISASTER PREVENTION; DISASTERS; ENVIRONMENTAL ENGINEERING; IMAGE PROCESSING; NATURAL RESOURCES MANAGEMENT; POLARIMETERS; REMOTE SENSING; RESOURCE ALLOCATION; SYNTHETIC APERTURE RADAR;

INFORMATION MANAGEMENT;

EID: 84879760118     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. DESDynI JPL homepage, 2011, "desdyni: Mission Concept, " http://desdyni.jpl.nasa.gov/mission/.
2. Y. Lou, S. Chien, D. Clark, J. Doubleday, 2010, "Onboard Radar Processing Concepts for the DESDynI Mission", http://esto.nasa.gov/ conferences/estf2010/papers/Lou-DESDynI-ESTF2010.pdf.
3. Jet Propulsion Laboratory (JPL) 2010, "UAVSAR - Home", http://uavsar.jpl.nasa.gov/.
4. NASA image created by Jesse Allen, using data provided courtesy of NASA/GSFC/METI/ERSDAC/JAROS, and U.S./Japan ASTER Science Team. Caption by Holli Riebeek http://earthobservatory.nasa.gov/IOTD/view.php?id=40118.
5. USDA Forest Service, ANGELES NF - STATION FIRE Burned Area Emergency Response · BAER Implementation FREQUENTLY ASKED QUESTIONS Last Updated: 11.04.2009 http://www.fs.usda.gov/Internet/FSE-DOCUMENTS/fsbdev3-020019.pdf.
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7. Pascale C. Dubois, Jakob van Zyl, and Ted Engman, "Measuring Soil Moisture with Imaging Radars, " IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 33, NO. 4, JULY 1995 915.
8. B. Tang and D. Mazzoni, "Multiclass reduced-set support vector machines, " In Proceedings of the 23th International Conference on Machine learning, pages 921-928, New York, NY, USA, 2006. ACM Press.
9. K. L. Wagstaff, M. Kocurek, D. Mazzoni, B. Tang, "Progressive Refinement for Support Vector Machines, " Data Mining and Knowledge Discovery, 20(1):53-69, doi:10.1007/s10618-009- 0149-y, January 2010.