Wavefront feature extraction for SAR target recognition
نویسندگان
چکیده
منابع مشابه
Feature Extraction for SAR Target Classification
In this paper, radar target classification based on Synthetic Aperture Radar (SAR) images is investigated. Different criteria for extracting features from MSTAR data are presented, and classification rates shown, emphasizing where the useful information in terms of recognition resides. The combination of different features is also examined, linking the classification accuracy of the system to t...
متن کاملFeature extraction for SAR target recognition based on supervised manifold learning
On the basis of manifold learning theory, a new feature extraction method for Synthetic aperture radar (SAR) target recognition is proposed. First, the proposed algorithm estimates the within-class and between-class local neighbourhood surrounding each SAR sample. After computing the local tangent space for each neighbourhood, the proposed algorithm seeks for the optimal projecting matrix by pr...
متن کاملSAR Image Feature Extraction and Target Recognition Based on Contourlet and SVM
In this paper, we introduce a SAR images target recognition approach based on the contourlet transform and support vector machine (SVM), which takes technological advantages of both SVM and the contourlet transform for feature extraction.
متن کاملStatistically Independent Feature Extraction for SAR Imagery
This paper reports on the work conducted in the University of Florida Computational NeuroEngineering Laboratory during 1998 under a DARPA grant. We have developed and applied a new feature extraction methodology based on the training of nonlinear mappers using an information theoretic criterion. We constructed a pose estimator with our method and showed the ability to estimate the pose of any v...
متن کاملSAR Target Recognition via Supervised Discriminative Dictionary Learning and Sparse Representation of the SAR-HOG Feature
Automatic target recognition (ATR) in synthetic aperture radar (SAR) images plays an important role in both national defense and civil applications. Although many methods have been proposed, SAR ATR is still very challenging due to the complex application environment. Feature extraction and classification are key points in SAR ATR. In this paper, we first design a novel feature, which is a hist...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Engineering
سال: 2019
ISSN: 2051-3305
DOI: 10.1049/joe.2019.0626