Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of 
a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes

Wieland, Marc; Liu, Wen; Yamazaki, Fumio; 2.6 Seismic Hazard and Stress Field, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum

doi:10.3390/rs8100792

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Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes

Wieland, M., Liu, W., Yamazaki, F. (2016): Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes. - Remote Sensing, 8, 10, 792.
https://doi.org/10.3390/rs8100792

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Wieland, Marc¹, Author
Liu, Wen², Author
Yamazaki, Fumio², Author
2.6 Seismic Hazard and Stress Field, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, Author

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17.1 Centre for Early Warning Systems, 7.0 Geoservices, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146058
2External Organizations, ou_persistent22

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Dates: Finally published : 2016

Publication Status: Finally published

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Identifiers: DOI: 10.3390/rs8100792
URI: http://doi.crossref.org/servlet/query?format=unixref&pid=bib@gfz-potsdam.de&id=10.3390/rs8100792
GFZPOF: p3 PT4 Natural Hazards

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Title: Remote Sensing

Source Genre: Journal, SCI, Scopus, OA

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Pages: - Volume / Issue: 8 (10) Sequence Number: 792 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals426