RGB SAR products: methods and applications

Abstract

In this paper, we introduce a new framework for the RGB representation of SAR data. The purpose is to lower the expertise required to manage data, providing intermediate products between the classic Level-1 and Level-2. These products are particularly oriented toward the end-user community. In fact, their principal characteristics are interpretability, reproducibility and possibility to be processed with simple algorithms, widely available in the most popular software suites. The proposed framework and products are discussed through examples in which the above-mentioned properties are highlighted. Finally, their suitability in applicative contexts is demonstrated through two example concerning classification activities, implemented exploiting both pixel-based and object-based techniques.

Keywords:

• SAR
• multitemporal
• classification
• OBIA
• RGB
• change-detection