Results 141 to 150 of about 358 (157)

An automatic target recognition (ATR) scheme in colored Gaussian noise based on parametric model and hybrid algorithm

2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559), 2002
This paper firstly presents a concise and physically relevant parametric model for use in automatic target recognition (ATR), data compression and scattering studies. Then, the extraction algorithm of high-resolution target feature vectors for ATR in the presence of colored Gaussian noise is developed, which is not restricted by the low SNR and ...
openaire   +1 more source

Feature Extraction Using Attributed Scattering Center Models for Model-Based Automatic Target Recognition (ATR)

2005
Abstract : "Feature Extraction using Attributed Scattering Center Models for Model-Based Automatic Target Recognition." The primary research goal of the program was to develop fundamental understanding and advanced signal processing techniques for feature extraction to support feature-based automatic target recognition (ATR) systems employing synthetic
Inder J. Gupta, Lee C. Potter, Randolph L. Moses   +2 more
openaire   +1 more source

Sensitivity analysis of ATR algorithms to scene distortions: the key to performance evaluation of automatic target recognition systems

Proceedings of SOUTHEASTCON '94, 2002
This paper presents a methodology to characterize the automatic target recognition (ATR) algorithm performance when it is subjected to geometrical scene distortions. The methodology presented is a parametric variation technique whereby perturbations in sensor parameters are made and the target probability of detection and location determined.
openaire   +1 more source

Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) Using Fuzzy Co-occurrence Matrix Texture Features

2015
Synthetic aperture radar (SAR) image classification is one of the challenging problems because of the difficult characteristics of SAR images. In this chapter, we implement SAR image classification on three military vehicles types, i.e., T72 tank, BMP2 armored personnel carriers (APCs), and BTR70 APCs.
Sansanee Auephanwiriyakul, Yutthana Munklang, Nipon Theera-Umpon   +2 more
openaire   +1 more source

On Automatic Target Recognition (ATR) using Inverse Synthetic Aperture Radar Images

2023 International Conference on Inventive Computation Technologies (ICICT), 2023
T Sudarson Rama Perumal, G S Gaurav, V.L Helen Josephine, R Joshua Samuel Raj   +3 more
openaire   +1 more source

Automatic Target Recognition (ATR) ATR: background statistics and the detection of targets in clutter

This research investigated signal processing oftwo dimensional signals for the detection of targets in noise, particularly in complex background pattern noise. The researchers hypothesized that this type of noise was vulnerable to non-linear processing. They investigated whether the human eye/brain acting as a surrogate for a non-linear processor could
openaire   +1 more source

Cost-Sensitive Awareness-Based SAR Automatic Target Recognition for Imbalanced Data

IEEE Transactions on Geoscience and Remote Sensing, 2022
Zongjie Cao, Jianyu Yang, Liying Wang
exaly  

Few-shot SAR automatic target recognition based on Conv-BiLSTM prototypical network

Neurocomputing, 2021
Ruihang Xue, Xueru Bai, Feng Zhou
exaly  

Multi-Aspect Convolutional-Transformer Network for SAR Automatic Target Recognition

Remote Sensing, 2022
Zongxu Pan, Hu Yuxin
exaly  

Deep Learning-Based Automatic Target Recognition (ATR) from UAV Imagery: A CNN/Transformer Hybrid Framework for Defense Applications

Automatic Target Recognition (ATR) from Unmanned Aerial Vehicle (UAV) imagery is a critical challenge in modern defense intelligence, surveillance, and reconnaissance (ISR) operations. Existing approaches struggle with small target detection at altitude, real-time inference on constrained hardware, multi-modal data fusion, and robustness to adversarial
openaire   +1 more source