This paper proposes an automatic target recognition (ATR) system based on the three-dimensional (3D) reconstruction of the target from an image sequence. The main contribution of this work is twofold: (1) we present a modi®ed voxel coloring reconstruction algorithm and (2) we employ the 3D reconstructed target model to generate the front and side target templates at zero depression angle to be ...

In this paper, a new 1-D hybrid Automatic Target Recognition (ATR) algorithm is developed for High Range Resolution (HRR) profiles. The proposed hybrid algorithm combines EigenTemplate based Matched Filtering (ETMF) and Hidden Markov modeling (HMM) techniques to achieve superior HRR-ATR performance. In the algorithm, each HRR test profile is first scored by ETMF which is then followed by indepe...

This thesis examined the hardware acceleration properties of automatic target recognition algorithms. It specifically focused on an algorithm produced by the SystemOriented High Range Resolution Automatic Recognition Program at the WrightPatterson Air Force Base. Analysis of this algorithm determined which calculations would be most suitable for and derive the most benefit from hardware acceler...

A binary hierarchical classifier is proposed for automatic target recognition. We also require rejection of non-object (non-target) inputs, which are not seen during training or validation, thus producing a very difficult problem. The SVRDM (support vector representation and discrimination machine) classifier is used at each node in the hierarchy, since it offers good generalization and rejecti...

The concept of scattering centers on a target is commonly used for radar signature modeling and data compression, as well as target recognition. In particular, two-dimensional (2-D) scattering centers are useful features in automatic target recognition, which uses a synthetic aperture radar system, because they are directly related to physical scattering mechanisms and also have small dimension...

II A variety of machine intelligence (MI) techniques have been developed at Lincoln Laboratory to increase the performance reliability of automatic target recognition (ATR) systems. Useful for recognizing targets that are only marginally visible (due to sensor limitations or to the intentional concealment of the targets), these MI techniques have become integral parts of the Experimental Target...

The direct evidence of Radar Target Recognition is the backscatter energy and its distribution of objects, which is concluded by imaging process of Synthetic Aperture Radar (SAR) in the two-dimension image domain. So the issues about Automatic Target Recognition (ATR) of SAR are often a "post-process" following SAR imaging. A method of target detection in the state of non-imaging based on analy...

most contemporary clinical reasoning tests typically assess non-automatic thinking. therefore, a test is needed to measure automatic reasoning or pattern recognition, which has been largely neglected in clinical reasoning tests. the puzzle test (pt) is dedicated to assess automatic clinical reasoning in routine situations. this test has been introduced first in 2009 by monajemi et al in the oly...

R ecognition of o cclude d obje cts in synthetic ap erture radar (SAR) images is a signi cant problem for automatic target recognition. In this paper, we present a hidden Markov modeling (HMM) based approach for recognizing objects in synthetic ap ertur eradar (SAR) images. We identify the peculiar char acteristics of SAR sensors and using these characteristics we develop featur ebased multiple...