Abstract: This paper proposes an automatic target recognition (ATR) method for synthetic aperture radar (SAR) images based on information-decoupled representation. A typical SAR image of a ground target can be divided into three parts: target region, shadow and background. From the aspect of SAR target recognition, the target region and shadow contain discriminative information. However, they a...

VIGILANTE consists of two major components: 1) the Yiewing Jrnager/Qimballed Instrumentation Laboratory ultraviolet sensors with appropriate optics and camera electronics (VIGIL)-advanced infrared, visible, and 2) the Analog Neural Ihree-dimensional processing Experiment (ANTE)-a massively parallel, neural network-based, high-speed processor, The powerful combination of VIGIL and ANTE will prov...

This paper introduces a methodology for the superresolution of synthetic aperture radar (SAR) images using multiple target and clutter models. The system has two major components: a mechanism that selects the appropriate model for superresolution and a bank of model estimators to accomplish the superresolution. The typical point scatterer model is incorporated into this technique as well as a m...

Autonomous underwater vehicles equipped with high-resolution synthetic aperture sonar (SAS), and automatic target recognition (ATR) algorithms show great potential for the task of search, classify and map. The level of detail recorded by the sonar is typically on the order of hundreds of pixels on an underwater object, valuable for improving classification performance. However, a weakness that ...

Obtaining measured synthetic aperture radar (SAR) data for training automatic target recognition (ATR) models can be too expensive (in terms of time and money) complex a process in many situations. In response, researchers have developed methods creating SAR targets using electro-magnetic prediction software, which is then used to enrich an existing dataset. However, this approach relies on the...

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...

As a method of representing the test sample with few training samples from an overcomplete dictionary, sparse representation classification (SRC) has attracted much attention in synthetic aperture radar (SAR) automatic target recognition (ATR) recently. In this paper, we develop a novel SAR vehicle recognition method based on sparse representation classification along with aspect information (S...

A strategy is introduced for achieving high accuracy in synthetic aperture radar (SAR) automatic target recognition (ATR) tasks. Initially, a novel pose rectification process and an image normalization process are sequentially introduced to produce images with less variations prior to the feature processing stage. Then, feature sets that have a wealth of texture and edge information are extract...