Hybrid Products for Enhanced and Unified Full and Compact Polarimetric SAR Data Exploitations

A synthetic aperture radar (SAR) data analytic methodology that serves a variety of exploitation objectives is developed within a unified polarimetric framework. New hybrid and multiaspect exploitation products are introduced and examined by applying multimodal and multisensor SAR data. These products include hybrid feature-based classification and detection maps. Hybrid multichannel ML-based, and phenomenology-based change detection and classification products are also developed and examined. Results indicate enhanced exploitation via added-value products for multiaspect and customized detection and change analysis. It is shown that information-rich exploitation products are achieved by the virtue of properly fusing SAR phenomenology-based characteristics. The results also highlight the multimodal and multipurpose nature of hybrid products that offer possibility of multisensor joint data exploitation for enhanced analysis. In particular, means for SAR-based multimodal anomalous analysis for change detection can be provided.