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Temporal analysis of Sentinel-1 coherence images
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Paper 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.

Paper Details

Date Published: 21 October 2019
PDF: 8 pages
Proc. SPIE 11149, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, 1114904 (21 October 2019); doi: 10.1117/12.2534979
Show Author Affiliations
Giovanni Nico, Istituto per le Applicazioni del Calcolo "Mauro Picone," CNR (Italy)
Saint Petersburg State Univ. (Russian Federation)
Nuno Mira, Academia Militar (Portugal)
Univ. de Lisboa (Portugal)
Olimpia Masci, DIAN s.r.l. (Italy)
João Catalão, Univ. de Lisboa (Portugal)
Evgeny Panidi, Saint Petersburg State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 11149:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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