A new algorithm is presented for Automatic Target Recognition (ATR) where the templates are obtained via Singular Value Decomposition (SVD) of High Range Resolution (HRR) profiles. SVD analysis of a large class of HRR data reveals that the Range-space eigenvectors corresponding to the largest singular value accounts for more than 90% of target energy. Hence, it is proposed that the Range-space ...

An automatic target recognition (ATR) technique developed by the authors features analytically derived object models which are formed from entire image suites, yet are compact and allow a direct target recognition and pose determination procedure. In contrast to the pose-invariant information used to form the models in conventional approaches, view-dependent information is retained in the forma...

Automatic Target Recognition (ATR) of moving targets has recently received increased interest . High Range Resolution (HRR) radar mode provides a promising approach which relies on processing high-resolution 'range profiles' over multiple look angles. To achieve a robust, reliable and cost effective approach for HRR-ATR, a model-based approach is investigated in this paper. A subset of the Movi...

Feature extraction algorithms for vehicle classification techniques represent a large branch of Automatic Target Recognition (ATR) efforts. Traditionally, vehicle ATR techniques have assumed time series vibration data collected from multiple accelerometers are a function of direct path, engine driven signal energy. If data, however, is highly dependent on measurement location these pre-establis...

We present our most recent efforts in applying XCS to automatic target recognition (ATR). We place particular emphasis on ATR as a series of linked problems, which include pre-processing of multi-spectral data, detection of objects (in this case, vehicles) in that data, and identification (classification) of those objects. Multi-spectral data contains visual imagery, and additional imagery from...

Automatic Target Recognition (ATR) is a demanding application that requires separation of targets from a noisy background in a sequence of images. In this paper, two adaptive methods for describing such a background are proposed which are based on Principal and Independent Component Analysis of sampled image patches. Coupled together with feature selection and outlier detection techniques they ...

Automatic target recognition (ATR) in hyperspectral imagery is a challenging problem due to recent advances of remote sensing instruments which have significantly improved sensor’s spectral resolution. As a result, small and subtle targets can be uncovered and extracted from image scenes, which may not be identified by prior knowledge. In particular, when target size is smaller than pixel resol...

In this paper, we propose a method for automatic term recognition (ATR) which uses the statistical differences of relative frequencies of terms in target domain corpus and elsewhere. Generally, the target terms appear more frequently in target domain corpus than in other domain corpora. Utilizing such characteristics will lead to the improvement of extraction performance. Most of the ATR method...

Synthetic aperture radar (SAR) is an advanced microwave imaging system of great importance. The recognition real-world targets from SAR images, i.e., automatic target (ATR), attractive but challenging issue. majority existing ATR methods are designed for single-view images. However, multiview images contain more abundant classification information than which benefits and recognition. This paper...