Reference : Multi-Chromatic Analysis of SAR Images for Coherent Target Detection
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others
http://hdl.handle.net/2268/173612
Multi-Chromatic Analysis of SAR Images for Coherent Target Detection
English
Bovenga, Fabio mailto [Consiglio Nazionale delle Ricerche (CNR) > ISSIA > > >]
Barbier, Christian mailto [Université de Liège - ULiège > > CSL (Centre Spatial de Liège) >]
De Rauw, Dominique mailto [Université de Liège - ULiège > > CSL (Centre Spatial de Liège) >]
Rana, Fabio Michele mailto [Consiglio Nazionale delle Ricerche (CNR) > ISSIA > > >]
Refice, Alberto mailto [Consiglio Nazionale delle Ricerche (CNR) > ISSIA > > >]
Veneziani, Nicola mailto [Consiglio Nazionale delle Ricerche (CNR) > ISSIA > > >]
Vitulli, Rafaele mailto [European Space Agency > ESTEC > > >]
19-Sep-2014
Remote Sensing
MDPI AG
6
8822-8843
Yes
International
2072-4292
Basel
Switzerland
[en] synthetic aperture radar ; multi-chromatic analysis ; target detection ; spectral analysis ; spectral coherence ; vessels detection
[en] 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.
Centre Spatial de Liège - CSL ; Consiglio Nazionale delle Ricerche, CNR-ISSIA
ASE - Agence Spatiale Européenne
Wide Band Multi Chromatic Assessment
Researchers
http://hdl.handle.net/2268/173612
10.3390/rs6098822
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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