An experimental study on the characterization of snow cover areas from multitemporal COSMO-SkyMed (CSK) images is presented. Himage and PingPong data in Stripmap acquisition mode from the CSK constellation are processed by applying two alternative approaches: a classical threshold method and an effective change-detection method. The proposed information-theoretic approach to change detection provides very promising results on multitemporal 1-look SAR images at very high spatial resolution.
S., P., E., S., S., P., B., A., Garzelli, A. (2013). Characterization of Snow Cover Areas by Change Detection Applied to COSMO-SkyMed Images. In PIERS 2013 STOCKHOLM: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (pp.531-535). THE ELECTROMAGNETICS ACADEMY, Cambridge, MA.
Characterization of Snow Cover Areas by Change Detection Applied to COSMO-SkyMed Images
GARZELLI, ANDREA
2013-01-01
Abstract
An experimental study on the characterization of snow cover areas from multitemporal COSMO-SkyMed (CSK) images is presented. Himage and PingPong data in Stripmap acquisition mode from the CSK constellation are processed by applying two alternative approaches: a classical threshold method and an effective change-detection method. The proposed information-theoretic approach to change detection provides very promising results on multitemporal 1-look SAR images at very high spatial resolution.
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https://hdl.handle.net/11365/46685
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