Results 271 to 280 of about 824,134 (332)

Statistical inference for automatic target recognition systems

Applied Optics, 1994
Traditionally, correlation-based target-recognition systems are evaluated by observation of the number of images successfully recognized and the errors made in the classification process. However, the rigorous use of hypothesis tests and confidence intervals in these evaluations does not appear with any regularity in the optics literature.
P, Mahalanobis, A, Mahalanobis
openaire   +2 more sources

Class Boundary Exemplar Selection Based Incremental Learning for Automatic Target Recognition

IEEE Transactions on Geoscience and Remote Sensing, 2020
When adding new tasks/classes in an incremental learning scenario, the previous recognition capabilities trained on the previous training data can be lost.
Sihang Dang, Z. Cao, Z. Cui, Y. Pi, Nengyuan Liu   +4 more
semanticscholar   +1 more source

EM Simulation-Aided Zero-Shot Learning for SAR Automatic Target Recognition

IEEE Geoscience and Remote Sensing Letters, 2020
A zero-shot learning (ZSL) method of automatic target recognition (ATR) in synthetic aperture radar (SAR) image is proposed to address the scenario, where no SAR sample of a particular target is available for training.
Qian Song, Hui Chen, F. Xu, T. Cui
semanticscholar   +1 more source

Neural networks for automatic target recognition

Neural Networks, 1995
Abstract Many applications reported in artificial neural networks are associated with military problems. This paper reviews concepts associated with the processing of military data to find and recognize targets—automatic target recognition (ATR). A general-purpose automatic target recognition system does not exist.
Steven K. Rogers, John M. Colombi, Curtis E. Martin, James C. Gainey, Ken H. Fielding, Tom J. Burns, Dennis W. Ruck, Matthew Kabrisky, Mark Oxley   +8 more
openaire   +1 more source

Automatic Target Recognition: Some Considerations

IEEE Transactions on Aerospace and Electronic Systems, 1966
Machine analysis of aerial reconnaissance data is desirable. New acquisition techniques, equipment, and sensors, plus a growing demand for rapidly obtained, accurate information necessitate machine performance of tasks presently accomplished by observers and interpreters.
openaire   +1 more source

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   +2 more sources

Automatic Target Recognition

2012
A wide variety of radar-based ATR systems and applications have been developed and documented in open literature. As different as these may seem on the surface, they all tend to revolve around four basic steps, labeled in this chapter as the unified framework for ATR. First, the target set must be identified.
openaire   +1 more source

Automatic target recognition using kinematic priors

Proceedings of 1994 33rd IEEE Conference on Decision and Control, 2002
Traditional automatic target recognition (ATR) systems discriminate based upon target size, target shape, or both. In this paper, an ATR algorithm is proposed that exploits aircraft-class specific kinematics to assess the tracked target's likelihood.
N.J. Cutaia, J.A. O'Sullivan
openaire   +1 more source

Forward-Looking Sonar CNN-based Automatic Target Recognition: an experimental campaign with FeelHippo AUV

IEEE/OES Autonomous Underwater Vehicles, 2020
In recent years, seabed inspection has become one of the most sought-after tasks for Autonomous Underwater Vehicles (AUVs) in various applications. Forward-Looking Sonars (FLS) are commonly favored over optical cameras, which are not-negligibly affected ...
Leonardo Zacchini, Matteo Franchi, Vincenzo Manzari, M. Pagliai, Nicola Secciani, Alberto Topini, Mirko Stifani, A. Ridolfi   +7 more
semanticscholar   +1 more source

Adaptive Classification for Automatic Target Recognition

Proceedings. The First IEEE Regional Conference on Aerospace Control Systems,, 2005
The design of an adaptive classifier for the integrated automatic target recognition and cueing (ATR/q) system based on a passive sensor suite is presented in this paper. The system configuration is described which requires effective fusion of information available from multiple passive sensors.
null Ching-Fang Lin, null Chun Yang
openaire   +1 more source