Characterization of snow cover areas by change detection applied to COSMO-SkyMed images
Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
change detection; multitemporal images; COSMO-SkyMed (CSK) images; snow cover areas; information-theoretic approach
List of contributors:
Garzelli, Andrea; Aiazzi, Bruno; Santi, Emanuele; Pettinato, Simone; Paloscia, Simonetta
Book title:
Proceedings of PIERS 2013, Progress In Electromagnetics Research Symposium
Published in: