Abstract:
This paper uses RADARSAT-2 QUADPOL fully POLarimetric Inteferometric Synthetic Aperture Radar (POLInSAR) data to detect agriculture crop fields changes using coherence op...View moreMetadata
Abstract:
This 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.
Published in: 2014 IEEE Geoscience and Remote Sensing Symposium
Date of Conference: 13-18 July 2014
Date Added to IEEE Xplore: 06 November 2014
Electronic ISBN:978-1-4799-5775-0