Image domain feature extraction from synthetic aperture imagery
نویسندگان
چکیده
We consider the problem of estimating a parametric model that describes radar backscattering from synthetic aperture radar imagery. We adopt a scattering center model that incorporates both frequency and aspect dependence of scattering. We develop an approximate maximum likelihood algorithm for parameter estimation directly on regions of the SAR image. The algorithm autonomously selects model order and structure. Results are presented for both synthetic and measured SAR imagery, and algorithm accuracy is compared with the Cramér-Rao bound.
منابع مشابه
Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Exploiting Intra-scale and Inter-scale Dependencies
Synthetic Aperture Radar (SAR) images are inherently affected by a multiplicative noise-like phenomenon called speckle, which is indeed the nature of all coherent systems. Speckle decreases the performance of almost all the information extraction methods such as classification, segmentation, and change detection, therefore speckle must be suppressed. Despeckling can be applied by the multilooki...
متن کاملFeature extraction of dual-pol SAR imagery for sea ice image segmentation
Dual-polarization synthetic aperture radar (SAR) image data, such as that available from RADARSAT-2, provides additional information for discriminating sea ice types compared to single-polarization data. A thorough investigation of published feature extraction and fusion techniques for making optimal use of this additional information for unsupervised sea ice image segmentation has been perform...
متن کاملVisual Learning by Evolutionary Feature Synthesis
In this paper, we present a novel method for learning complex concepts/hypotheses directly from raw training data. The task addressed here concerns data-driven synthesis of recognition procedures for real-world object recognition task. The method uses linear genetic programming to encode potential solutions expressed in terms of elementary operations, and handles the complexity of the learning ...
متن کاملFeature Extraction And Classification Of Oil Spills In Sar Imagery
Synthetic Aperture RADAR (SAR) imaging system is used to monitor the marine system. Oil spill pollution plays a significant role in damaging marine ecosystem. One main advantages of SAR is that it can generate imagery under all weather conditions. In a SAR image dark spots can be generated by number of phenomena. The dark spots may be of algae, low wind areas, coastal areas and oil spills. The ...
متن کاملSpeckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Using Laplace Distribution
Speckle is a granular noise-like phenomenon which appears in Synthetic Aperture Radar (SAR) images due to coherent properties of SAR systems. The presence of speckle complicates both human and automatic analysis of SAR images. As a result, speckle reduction is an important preprocessing step for many SAR remote sensing applications. Speckle reduction can be made through multi-looking during the...
متن کامل