On ICA Based ICTD Classification of Polsar Data

Vasile, Gabriel

doi:10.1109/igarss.2019.8900558

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2020

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“…Within this context, this paper is synthesizing the results presented in [12,13] in order to propose an unified PolSAR data processing and analysis framework for the ICA based ICTD. The paper is structured as follows.…”

Section: Introductionmentioning

confidence: 99%

Independent Component Analysis Data Processing Framework for Polarimetric Synthetic Aperture Radar Images

Vasile¹

2020

Preprint

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The Independent Component Analysis (ICA) has been recently introduced as a reliable alternative to identify canonical scattering mechanisms within Polarimetric Synthetic Aperture Radar (PolSAR) images. This manuscript addresses two important aspects when applying such methods on real data, namely speckle filtering and statistical classification with ICA. A novel PolSAR data processing framework is introduced by adjusting the Lee's sigma filter to the particular nature of the Touzi's polarimetric decomposition. In its current form, it allows the use of the ICA mixing matrix in the derived speckle filter. An extension of the Fromont at al. iterative segmentation is introduced, equally. This proposed framework is tested using P band airborne PolSAR data acquired for the ESA campaign TropiSAR campaign.

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Section: Introductionmentioning

confidence: 99%