Results 131 to 140 of about 358 (157)

Interfacing topological data analysis (TDA) with AI/ML for multimodal data fusion and automatic target recognition (ATR)

Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII

exaly   +2 more sources

Focus of attention (FOA) identification from compressed video for automatic target recognition (ATR)

Proceedings., International Conference on Image Processing, 2002
We 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
openaire   +1 more source

A Unified Multiresolution Framework for Automatic Target Recognition (ATR)

2001
Abstract : 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
openaire   +1 more source

Feature and Extractor Evaluation Concepts for Automatic Target Recognition (ATR)

1995
Abstract : 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, David A. Gadd, Lori A. Westerkamp, Timothy D. Ross   +3 more
openaire   +1 more source

Automatic Design and Synthesis of Automatic Target Recognition (ATR) Systems Using Learning Paradigms

2003
Abstract : This report investigates evolutionary computational techniques such as genetic programming (GP), coevolutionary genetic programming (CGP), linear genetic programming (LGP) and genetic algorithms (GA) to automate the synthesis and analysis of object detection and recognition systems.
Krzysztof Krawiec, Yingqiang Lin, Bir Bhanu   +2 more
openaire   +1 more source

Model-based automatic target recognition (ATR) system for forwardlooking groundbased and airborne imaging laser radars (LADAR)

Proceedings of the IEEE, 1996
We describe an experimental, model-based automatic target recognition (ATR) system, called XTRS, for recognizing tactical vehicles in real or synthetic laser-radar (LADAR) range and intensity images corresponding to a forwardlooking, CO/sub 2/ laser radar (LADAR) that is carried either on a ground vehicle or on an airborne platform.
Jacques G. Verly, Richard L. Delanoy
openaire   +1 more source

Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) Parametric Study

2003
Abstract : SAR ATR is a very complex problem that still has not been mastered. SAR ATR is difficult largely due to the fact that SAR imagery exhibits large variability. SAR imagery is a function of many variables called operating conditions (OCs) that can be subdivided into three large groups.
Sam Sink, Kefu Xue
openaire   +1 more source

Diffusion Maps and Geometric Harmonics for Automatic Target Recognition (ATR). Volume 2. Appendices

2007
Abstract : Geometric harmonics provides a framework for taking data in high-dimensional measurement spaces and embedding them in low dimensional Euclidean space according to a similarity measure. Euclidean coordinates then characterize the "manifold" on (or near) which the data live.
Ronald Coifman, Steven W. Zucker
openaire   +1 more source

Context and Quasi-Invariants in Automatic Target Recognition (ATR) with Synthetic Aperture Radar (SAR) Imagery

2000
Abstract : This report focuses on the development of an automatic target recognition (ATR) system using high resolution synthetic aperture radar (SAR) imagery. The system achieves 95 to 100 percent recognition rates when applied to a set of MSTAR images.
Tsung-Liang Chen, Thomas O. Binford
openaire   +1 more source

Electro-Optic Identification Research Program: Computer Aided Identification (CAI) and Automatic Target Recognition (ATR)

2001
Abstract : The overall goal of the Electro-Optic Identification (EOID) Research Program is to support the performance of EOID sensors transitioning to the fleet. EOID is used in the identification of Mine Like Objects (MLOs) and is a pressing need for Mine Countermeasures (MCM) operations.
Mary C. Hulgan, James S. Taylor
openaire   +1 more source