Multi-Chromatic Analysis of SAR Images for Coherent Target Detection

Remote Sensing

Fabio Bovenga²  Dominique Derauw¹  Fabio Michele Rana²  Christian Barbier¹  Alberto Refice²  Nicola Veneziani² 

[1] Centre Spatial de Liège, Avenue du Pré-Aily, Angleur 4031, Belgium; E-Mails:;Consiglio Nazionale delle Ricerche, CNR-ISSIA, Via Amendola 173, Bari 70126, Italy; E-Mails:

关键词: synthetic aperture radar;    multi-chromatic analysis;    target detection;    spectral analysis;    spectral coherence;    vessels detection;   

DOI  :  10.3390/rs6098822

来源: mdpi

【 摘 要 】

This work investigates the possibility of performing target analysis through the Multi-Chromatic Analysis (MCA), a technique that basically explores the information content of sub-band images obtained by processing portions of the range spectrum of a synthetic aperture radar (SAR) image. According to the behavior of the SAR signal at the different sub-bands, MCA allows target classification. Two strategies have been experimented by processing TerraSAR-X images acquired over the Venice Lagoon, Italy: one exploiting the phase of interferometric sub-band pairs, the other using the spectral coherence derived by computing the coherence between sub-band images of a single SAR acquisition. The first approach introduces the concept of frequency-persistent scatterers (FPS), which is complementary to that of the time-persistent scatterers (PS). FPS and PS populations have been derived and analyzed to evaluate the respective characteristics and the physical nature of the targets. Spectral coherence analysis has been applied to vessel detection, according to the property that, in presence of a random distribution of surface scatterers, as for open sea surfaces, spectral coherence is expected to be proportional to sub-band intersection, while in presence of manmade structures it is preserved anyhow. First results show that spectral coherence is well preserved even for very small vessels, and can be used as a complementary information channel to constrain vessel detection in addition to classical Constant False Alarm Rate techniques based on the sole intensity channel.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland