Temporal analysis of Sentinel-1 coherence images

Giovanni Nico; Nuno Mira; Olimpia Masci; João Catalão; Evgeny Panidi

doi:10.1117/12.2534979

21 October 2019 Temporal analysis of Sentinel-1 coherence images

Giovanni Nico, Nuno Mira, Olimpia Masci, João Catalão, Evgeny Panidi

Proceedings Volume 11149, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI; 1114904 (2019) https://doi.org/10.1117/12.2534979
Event: SPIE Remote Sensing, 2019, Strasbourg, France

Abstract

This paper presents the results of a study aiming to identify targets in Synthetic Aperture Radar (SAR) images having different properties in terms of microwave scattering and temporal stability using the interferometric SAR coherence and the Principal Component Analysis (PCA). Coherence maps used in this analysis are generated starting from a time series of Sentinel-1 images. A flat area in Padan plain (Italy), characterized by agricultural fields with different crops, urban settlements and water surfaces is chosen as study area.

Conference Presentation

Citation Download Citation

Giovanni Nico, Nuno Mira, Olimpia Masci, João Catalão, and Evgeny Panidi "Temporal analysis of Sentinel-1 coherence images", Proc. SPIE 11149, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, 1114904 (21 October 2019); https://doi.org/10.1117/12.2534979

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