In support of the ARPA-sponsored Critical Mobile Target (CMT) program, MIT Lincoln Laboratory has developed a complete, end-to-end, 2-D SAR automatic target recognition (ATR) system. This baseline ATR system performs three basic functions: First, a CFAR (constant false alarm rate) detector locates candidate targets in a SAR image on the basis of radar amplitude. Next, a target-size matched filt...

This paper presents an algorithm for detecting a specified set of target objects embedded in visual imagery for an Automatic Target Recognition (ATR) application. ATR involves processing images for detecting, classifying, and tracking targets embedded in a background scene. We address the problem of discriminating between targets and non-target objects located within a cluttered environment by ...

The implementation of computational systems to perform challenging operations often involves balancing the performance specification, system throughput, and available system resources. For problems of automatic target recognition (ATR), these three quantities of interest are the probability of classification error, the rate at which regions of interest are processed, and the capabilities of the...

-In this work we present a new extraction and matching algorithms that enable to perform automatic target recognition (ATR) in high-resolution synthetic aperture radar (SAR) data and targets in proximity. Our motivation was to show benefits of high-resolution SAR for ATR and extend the current capabilities of ATR algorithms for targets in extended operating conditions (EOCs), for example, targe...

Typical automatic target recognition (ATR) systems rely on measurements from images; however, acquiring the image is dependent on knowing the target location. A dynamic sensor manager points a sensor in the general target direction. Once the general target area is identified (coarse resolution), it is imperative that an ATR system increase pixels on target (fine resolution) to maintain accurate...

This paper outlines a method to automatically detect targets from sets of pixel-registered visual, thermal , and range images. The method uses operations speciically designed for the diierent kinds of images. It also introduces the morphological operation called \erosion of strength n" as a powerful tool for removal of spurious information. Good preliminary results obtained for detection suppor...

Synthetic aperture radar (SAR) has been widely used in recent years, and SAR automatic target recognition (ATR) become a research hotspot. Most of the existing ATR methods focus on network structure design increasing data volume but omit image quality real-time processing. We multimodule enhancement (MMIE-Net) to solve these problems, which include extraction module, processing convolutional ne...

In transportation security applications, Computed Tomography (CT) scanners are widely used to scan checked baggage for threatening materials. Traditionally, images are reconstructed using direct methods, such as fi ltered back projection (FBP). Model-based iterative reconstruction (MBIR) potentially offers many important advantages over traditional methods for the security screening of checked ...

Synthetic aperture radar (SAR) automatic target recognition (ATR) has been receiving more and more attention in the past two decades. But the problem of how to overcome SAR target ambiguities and azimuth angle variations has still left unsolved. In this paper, a multi-scale local phase quantization plus biomimetic pattern recognition (BPR) method is presented to solve these two difficulties. By...