Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey

Automatic Target Detection and Recognition Using Synthetic Aperture Radar Imagery

Importance of Image Exploitation Defence forces rely upon a variety of sensor information to locate and track oppositional forces; the surveillance problem becomes particularly difficult over large land areas with sparse population centres and over the great expanse of the seas. The modern warfighter is dependent upon several types of image data to aid in the surveillance task including optical...

Feature matching and target recognition in synthetic aperture radar imagery

An approach for target matching in Synthetic aperture radar (SAR) imagery is presented. The method is feature based where feature points in a target candidate are matched against those from an exemplar database. Matching is formulated as a non-linear optimization problem that encourages matches while minimizing the distance between the matched features. The formulation allows for missing, spuri...

Synthetic Aperture Radar (sar) Automatic Target Recognition (atr) Parametric Study

Synthetic Aperture Radar Automatic Target Recognition Using Adaptive Boosting

We propose a novel automatic target recognition (ATR) system for classification of three types of ground vehicles in the MSTAR public release database. First, each image chip is pre-processed by extracting fine and raw feature sets, where raw features compensate for the target pose estimation error that corrupts fine image features. Then, the chips are classified by using the adaptive boosting ...

Support Vector Machines For Synthetic Aperture Radar Automatic Target Recognition

Algorithms that produce classifiers with large margins, such as support vector machines (SVMs), AdaBoost, etc. are receiving more and more attention in the literature. This paper presents a real application of SVMs for synthetic aperture radar automatic target recognition (SAR/ATR) and compares the result with conventional classifiers. The SVMs are tested for classification both in closed and o...