Results 251 to 260 of about 67,618 (305)

Image Matting for Automatic Target Recognition

IEEE Transactions on Aerospace and Electronic Systems, 2017
Features used in the classification of targets are generally based on the shape or gray-level information of the preprocessed target chip. Consequently, the performance of an automatic target recognition (ATR) system critically depends on the preprocessing result.
Hyun-Woong Cho, Young-Rae Cho, Woo-Jin Song, Byoung-Kwang Kim   +3 more
openaire   +3 more sources

Automatic target recognition employing signal compression

Applied Optics, 2007
Quadratic correlation filters (QCFs) have been used successfully to detect and recognize targets embedded in background clutter. Recently, a QCF called the Rayleigh quotient quadratic correlation filter (RQQCF) was formulated for automatic target recognition (ATR) in IR imagery.
Ragothaman, Pradeep, Mikhael, Wasfy B., Muise, Robert R., Mahalanobis, Abhijit   +3 more
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Polarimetrically-Persistent-Scatterer-Based Automatic Target Recognition

IEEE Transactions on Geoscience and Remote Sensing, 2011
Reliable automatic target recognition (ATR) systems based on inverse synthetic aperture radar (ISAR) images require a robust feature selection. An ATR system based on polarimetric ISAR images has been recently proposed that extracts bright scatterers and uses their polarimetric signatures to define classification features. Since bright scatterers could
Elisa Giusti, Marco Martorella, Amerigo Capria   +2 more
openaire   +3 more sources

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Automatic Target Recognition for Passive Radar

IEEE Transactions on Aerospace and Electronic Systems, 2014
Air-traffic controllers cannot identify air vehicles flying with a defective or nonexistent transponder. Primary radar does not help, because it cannot classify air vehicles from echoes. Passive radar offers a potential solution, the main difficulty lying in the analysis of the data.
Jonathan Pisane, Sylvain Azarian, Marc Lesturgie, Jacques G. Verly   +3 more
openaire   +1 more source

High performance automatic target recognition

AFRICON 2015, 2015
Designing a vision system, which was motivated by that of the human eye, has been done since the introduction of digital computing devices. Its computational complexity hinders it from the required accuracy and flexibility achievable by these systems.
Misiker Tadesse Aga, Eneyew Adugna
openaire   +1 more source

Automatic Target Recognition with Dynamic Reconfiguration

Journal of VLSI signal processing systems for signal, image and video technology, 2000
This paper describes the acceleration of an infrared automatic target recognition (IR ATR) application with a co-processor board that contains multiple field programmable gate array (FPGA) chips. Template and pixel level parallelism is exploited in an FPGA design for the bottleneck portion of the application.
Jack S. N. Jean, Xuejun Liang, Brian Drozd, Karen A. Tomko, Yan Wang   +4 more
openaire   +1 more source

Automatic target recognition using a neocognitron

IEEE Transactions on Knowledge and Data Engineering, 1992
The use of a neocognitron in an automatic target recognition (ATR) system is described. An image is acquired, edge detected, segmented, and centered on a log-spiral grid using subsystems not discussed in the paper. A conformal transformation is used to map the log-spiral grid to a computation plane in which rotations and scalings are transformed to ...
Glenn S. Himes, Rafael M. Inigo
openaire   +1 more source

Sparsity-motivated automatic target recognition

Applied Optics, 2011
We present an automatic target recognition algorithm using the recently developed theory of sparse representations and compressive sensing. We show how sparsity can be helpful for efficient utilization of data for target recognition. We verify the efficacy of the proposed algorithm in terms of the recognition rate and confusion matrices on the well ...
Vishal M, Patel, Nasser M, Nasrabadi, Rama, Chellappa   +2 more
openaire   +2 more sources

Unification of Automatic Target Tracking and Automatic Target Recognition

SPIE Proceedings, 2014
The subject being addressed is how an automatic target tracker (ATT) and an automatic target recognizer (ATR) can be fused together so tightly and so well that their distinctiveness becomes lost in the merger. This has historically not been the case outside of biology and a few academic papers.
openaire   +1 more source

Fusion techniques for automatic target recognition

32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings., 2004
In this paper, we investigate several fusion techniques for designing a composite classifier to improve the performance (probability of correct classification) of FLIR ATR. In this research, we propose to use four ATR algorithms for fusion. The individual performance of the four contributing algorithms ranges from 73.5% to about 77% of probability of ...
Syed A. Rizvi, Nasser M. Nasrabadi
openaire   +1 more source