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TitleRadarsat-2 POLInSAR coherence optimization for agriculture crop change detection
AuthorLi, Y; Liu, T; Lampropoulos, G; McNairn, H; Shang, J; Touzi, R
SourceIEEE International Geoscience and Remote Sensing Symposium proceedings 6947514, 2014 p. 4588-4591, https://doi.org/10.1109/IGARSS.2014.6947514
Year2014
Alt SeriesNatural Resources Canada, Contribution Series 20181695
PublisherIEEE
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; remote sensing
AbstractThis paper uses RADARSAT-2 QUADPOL fully POLarimetric Inteferometric Synthetic Aperture Radar (POLInSAR) data to detect agriculture crop fields changes using coherence optimization method. The RADARSAT-2 POLInSAR data, acquired in July and September 2010, contains wheat, corn and soybean fields. Interferogram and coherence images were generated using single polarimetric data and fully polarimetric data. The coherence optimization method was carried out by maximizing the complex Lagrangian function. The optimized coherence image from the largest eigenvalue can correctly detect changes in the agricultural fields which cannot be detected using single coherence image. The results were validated using ground truth information.
GEOSCAN ID312050