Improving High-Resolution Repeat Pass SAR Image Interpretation by the CoVAmCoh Method
Proceedings:
Conference:
EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
Town:
Aachen, Germany
Date:
06/07/2010 - 06/10/2010
Authors:
Schulz, Karsten; Cadario, Erich; Boldt, Markus; Thiele, Antje (Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Gutleuthausstr. 1, 76275 Ettlingen, Germany)
File size:
2.619,89 kB
Pages:
4
Language:
english
Type:
Price:
15.00 €
Payment:
Abstract:
A method is presented to improve and to simplify the interpretation of high resolution repeat pass SAR images. The method is characterized by exploitation of basic qualities, which can be directly extracted from the color representation of the three features: coefficient of variation (CoV), amplitude (Am), and coherence (Coh). The combined evaluation of these three features can especially be used to identify regions dominated by volume scatterers, rough surfaces and smooth surfaces. The method is presented using of repeat pass TerraSAR-X spotlight images of Frankfurt airport in Germany.
