Automatic target recognitionRadarNot Availabledoi:10.1117/12.741107K.F. BingL.M. BingT.M. Selee
It is a feasible and promising way to utilize deep neural networks to learn and extract valuable features from synthetic aperture radar (SAR) images for SAR automatic target recognition (ATR). However, it is too difficult to effectively train the deep neural networks with limited raw SAR images...
II In this article we introduce the subject of automatic target recognition (ATR). Interest in ATR is increasing in the defense community as the need for precision strikes in limited warfare situations becomes an increasingly important part of our defense posture. We discuss reasons for the difficu...
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extraction. The dictionary learning algorithm is based on class supervised simultaneous orthogonal matching pursuit while a matching pur...
automatic target recognition and detection 目标自动识别与探测相关短语 magnetic field balance (探测用的) 磁秤 rod sounding (水深探测的) 杆测法 photovoltaic photodetector (探测器) 光生伏打光电检测器 ink bleed (光符识别) 墨水渗出 leading edge tracking (电视对目标) 前沿跟踪 infinite pad method (光...
This book examines the roles of sensors, physics--based attributes, classification methods, and performance evaluation in automatic target recognition. It details target classification from small mine--like objects to large tactical vehicles. Also explored in the book are invariants of sensor and transm...
Automatic target recognition in sidescan sonar imagery is vital to many applications, particularly sea mine detection and classification. We expand upon the traditional offline supervised classification approach with an active learning method to automatically label new objects that are not present in the ...
Aiming at the multiple target recognition problems in large-scene SAR image with strong speckle, a robust full-process method from target detection, feature extraction to target recognition is studied in this paper. By introducing a simple 8-neighborhood orthogonal basis, a local multiscale decomposit...
S. Grossberg, H. Hawkins, and A. Waxman. Special Issue - Automatic Target Recognition. Neural Networks, 8: 1003-1360, 1995.Special Issue - Automatic Target Recognition - Grossberg, Hawkins, et al. - 1995 () Citation Context ..., and add an extension to integrate belief dynamically from ...