Results 291 to 300 of about 824,134 (332)

Deep learning for automatic target recognition with real and synthetic infrared maritime imagery

Artificial Intelligence and Machine Learning in Defense Applications II, 2020
Supervised deep learning algorithms are re-defining the state-of-the-art for object detection and classification. However, training these algorithms requires extensive datasets that are typically expensive and time-consuming to collect.
Samuel Westlake, T. Volonakis, James Jackman, D. James, Andy Sherriff   +4 more
semanticscholar   +1 more source

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 Verly   +3 more
openaire   +1 more source

Automatic machine learning for target recognition

Automatic Target Recognition XXIX, 2019
Automatic Target Recognition (ATR) seeks to improve upon techniques from signal processing, pattern recognition (PR), and information fusion. Currently, there is interest to extend traditional ATR methods by employing Artificial Intelligence (AI) and Machine Learning (ML). In support of current opportunities, the paper discusses a methodology entitled:
Erik Blasch, Uttam Majumder, Todd Rovito, Peter Zulch, Vincent Velten   +4 more
openaire   +1 more source

DeepTarget: An Automatic Target Recognition Using Deep Convolutional Neural Networks

IEEE Transactions on Aerospace and Electronic Systems, 2019
Automatic target recognition (ATR) is an important part for many computer vision applications. Despite the extensive research which has been carried out in this area for many years, there is no ATR system which performs well on all applications. Recently,
N. Nasrabadi
semanticscholar   +1 more source

Automatic Target Recognition Directed Image Compression

Journal of Aircraft, 1999
Abstract : In this paper, we present a novel synthesis of two separate aspects of image processing: automatic target recognition/cueing (ATR/ATC) and embedded image compressian. In order to maximize the information content of a transmitted image, an ATR algorithm is used to detect potential areas of interest, and the compression algorithm regionally ...
Charles D. Creusere, Alan Van Nevel
openaire   +1 more source

Hybrid system for automatic target recognition

SPIE Proceedings, 1994
ABSTRACT A hybrid system is proposed for automatic target recognition. The system developed consists of an opticalmodule and an electronic/computer module. The electronic module uses a DatacubeTM image processing system to carry outreal-time filtering, detection, and segmentation operations.
Erik Eustache, Denis J. Gingras, Denis Poussart   +2 more
openaire   +1 more source

New approach in automatic target recognition

SPIE Proceedings, 2003
A new approach for automatic battle tank recognition and segmentation has been developed. This paper presents the design and implementation for this new algorithm. The main ideas, approaches, limitations, and possible extension for future work are also discussed. This approach consists of three phase.
Hongwei Tao, Kai Qian, Chin-Cheng Hung, Mia Gan, Jigang Liu, Prabir Bhattacharya   +5 more
openaire   +1 more source

Conventional Weapon Automatic Target Recognition

1999
Abstract : The Missile Research, Development, and Engineering Center recently conducted a preliminary investigation of manufacturing technology issues related to Detection, Discrimination and Classification of Targets in Clutter. These new technologies can teed to applications that will significantly improve the performance of missile end other DoD ...
openaire   +1 more source

SAR Automatic Target Recognition Based on Attribute Scattering Center Model and Discriminative Dictionary Learning

IEEE Sensors Journal, 2019
Synthetic aperture radar (SAR) automatic target recognition plays a crucial role in both national defense and civil applications. Although many methods have been proposed, it remains one of the most challenging tasks to identify different terrain vehicle
Tingli Li, L. Du
semanticscholar   +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 ...
G.S. Himes, R.M. Inigo
openaire   +1 more source