Results 201 to 210 of about 11,957 (239)
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LIDA-ATR for object detection in Automatic Target Recognition system
2014 International Conference on Electronics, Information and Communications (ICEIC), 2014Dong-Seong Kim
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Complete Solutions to an Automatic Target Recognition (ATR) Differential Game With Singular Surfaces
IEEE Transactions on Aerospace and Electronic Systems, 2023Brian A Swanson +2 more
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Advanced Automatic Target Recognition (ATR) with Infrared (IR) Sensors
2021 IEEE Aerospace Conference (50100), 2021Automatic Target Detection (ATD) and Recognition (ATR) are critical for video analysis and image understanding for many military and commercial applications deployed on satellites and UAV platforms. Infrared (IR) sensors can be used to detect targets during day and night time but there are few effective ATR algorithms that can exploit these sensors ...
Hai- Wen Chen +4 more
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Multiresolution Framwork with Neural Network Approach for Automatic Target Recognition (ATR)
2009 International Conference on Signal Acquisition and Processing, 2009Automatic Target Recognition (ATR) is an approach by which we identify one or a group of target-objects in a scene. It plays a pivotal role in the challenging fields of defense and civil. Most of the methods in this context are based on fix window-size technique.
Dileep Kumar, Shirshu Varma
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Focus of attention (FOA) identification from compressed video for automatic target recognition (ATR)
Proceedings., International Conference on Image Processing, 2002We examine an approach to perform pattern recognition on compressed video such as MPEG data streams. The current effort has focused on the identification of the region of interest (ROI) which contains the target, which is also known as the focus of attention (FOA) module. Two techniques are studied, i.e.
Jin Li 0001, Sungook Kim, C.-C. Jay Kuo
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Cascaded automatic target recognition (Cascaded ATR)
SPIE Proceedings, 2010The global war on terror has plunged US and coalition forces into a battle space requiring the continuous adaptation of tactics and technologies to cope with an elusive enemy. As a result, technologies that enhance the intelligence, surveillance, and reconnaissance (ISR) mission making the warfighter more effective are experiencing increased interest.
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A Unified Multiresolution Framework for Automatic Target Recognition (ATR)
2001Abstract : This report describes the development of multiscale, multiresolution methods for automatic target recognition (ATR). The methods are applied to and developed specifically for synthetic aperture radar data. Applications include high level reasoning over learned target models, information theoretic approaches for pose estimation, and model ...
Alan Willsky, Eric Grimson, John Fisher
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SPIE Proceedings, 2007
The US Air Force Research Laboratory (AFRL) is exploring the decision-level fusion (DLF) trade space in the Fusion for Identifying Targets Experiment (FITE) program. FITE is surveying past DLF approaches and experiments. This paper reports preliminary findings from that survey, which ultimately plans to place the various studies in a common framework ...
Timothy D. Ross +4 more
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The US Air Force Research Laboratory (AFRL) is exploring the decision-level fusion (DLF) trade space in the Fusion for Identifying Targets Experiment (FITE) program. FITE is surveying past DLF approaches and experiments. This paper reports preliminary findings from that survey, which ultimately plans to place the various studies in a common framework ...
Timothy D. Ross +4 more
openaire +1 more source
Feature and Extractor Evaluation Concepts for Automatic Target Recognition (ATR)
1995Abstract : This report develops concepts that will support the evaluation planning for the MSTAR features and feature extractors. These concepts will be used later in building a detailed evaluation plan. We began our development by distinguishing between the evaluation of a feature set and the evaluation of an extractor.
Robert B. Kotz +3 more
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