This paper presents an Automatic Target Recognition (ATR) system for laser radar (LADAR) imagery, designed to classify objects at multiple levels of discrimination (target detection, classification, and recognition) from single LADAR images. Segmentation is performed in both the range and non-range LADAR channels and results combined to increase object detection rate or decrease false positive ...

We present a model for classification performance estimation for synthetic aperture radar (SAR) automatic target recognition. We adopt a model-based approach, in which classification is performed by comparing a feature vector extracted from a measured SAR image chip with a feature vector predicted from a hypothesized target class and pose. The feature vectors are compared using a Bayes likeliho...

............................................................................................................... 13 CHAPTER 1 – INTRODUCTION ........................................................................... 15 CHAPTER 2 – AUTOMATIC TARGET RECOGNITION .................................. 22 2.1 Automatic Target Recognition for Monostatic Radar ................................. 22 2.1.1 Pr...

This work proposes a new automatic target classifier, based on a combined neural networks’ system, by ISAR image processing. The novelty introduced in our work is twofold. We first present a novel automatic classification procedure, and then we discuss an improved multimedia processing of ISAR images for automatic object detection. The classifier, composed by a combination of 20 feed-forward ar...

This paper describes the acceleration of an infrared automatic target recognition (IR ATR) application with a co-processor board that contains multiple eld programmable gate array (FPGA) chips. Template and pixel level parallelism is exploited in an FPGA design for the bottleneck portion of the application. The implementation of this design achieved a speedup of 21 compared to running on the ho...

Traditionally, Inverse Synthetic Aperture Radar (ISAR) image frames are classified individually in an automatic target recognition system. When information from different image frames is combined, it is usually in the context of timeaveraging to remove statistically independent noise fluctuations between images. The sea state induced variability of the ship target projections between frames, ho...