Entropy based reconstruction technique for analysis of hybrid‐polarimetric SAR data. Issue 4 (1st April 2019)

• Record Type: Journal Article
• Authors: Kumar, Ajeet; Panigrahi, Rajib Kumar
• Is Part Of: IET radar, sonar & navigation. Volume 13:Issue 4(2019)
• Page Start: 620
• Page End: 626
• Publication Date: 2019-04-01
• Subjects: synthetic aperture radar -- radar polarimetry -- remote sensing by radar -- image reconstruction -- entropy; hybrid‐pol entropy -- cross‐pol linking -- entropy based reconstruction technique -- hybrid‐polarimetric SAR data -- hybrid‐polarimetric data -- full‐pol decomposition techniques -- pseudoquad‐pol data -- cross‐polarisation -- hybrid‐pol measurements; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2018.5338
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : The analysis of hybrid‐polarimetric (pol) data can be performed using any of the well‐established full‐pol decomposition techniques through reconstruction of pseudo quad‐pol data. This reconstruction requires estimation of cross‐polarisation ( S HV 2 ) information from the hybrid‐pol measurements. In this study, the authors established a direct relationship to estimate S HV 2 from hybrid‐pol entropy. This proposed reconstruction approach overcomes the limitations related to the iterative based procedure implemented in the conventional Souyris' reconstruction method. The proposed method also circumvents a non‐linear co‐ and cross‐pol linking used in Souyris' method that holds only for volume scattering dominated areas. The comparative analysis over four different datasets indicates that the proposed method can perform better for the application of landcover classification, in comparison with conventional Souyris' as well as recently reported Espeseth's reconstruction methods.