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.
Characterization of snow cover areas by change detection applied to COSMO-SkyMed images
Pettinato S;Santi E;Paloscia S;Aiazzi B;Garzelli A
2013
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.File in questo prodotto:
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