We propose a full Space and Time Coherent Change Detection (ST-CCD) that takes advantage of Sentinel-1 (S1) short interferometric revisit to enhance sensitivity in detecting changes at a fine space resolution. It extends the Generalized Likelihood Ratio Test (GLRT) used for change detection by single baseline images, to the multi-pass, multi-polarimetric stacks of S1 data. Applications are shown for damage mapping after hazards and for agriculture. A preliminary validation is performed by processing data referred to central Italy earthquake in 2016.

Coherence Change Detection For Sentinel-1 Sar: Methods And Applications

Monti-Guarnieri, Andrea;Brovelli, Maria Antonia;d'Alessandro, Mauro Mariotti;MANZONI, MARCO;Molinari, Monia Elisa;Oxoli, Daniele;
2018

Abstract

We propose a full Space and Time Coherent Change Detection (ST-CCD) that takes advantage of Sentinel-1 (S1) short interferometric revisit to enhance sensitivity in detecting changes at a fine space resolution. It extends the Generalized Likelihood Ratio Test (GLRT) used for change detection by single baseline images, to the multi-pass, multi-polarimetric stacks of S1 data. Applications are shown for damage mapping after hazards and for agriculture. A preliminary validation is performed by processing data referred to central Italy earthquake in 2016.
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
978-1-5386-7150-4
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1069214
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