Deep Learning for Passive Synthetic Aperture Radar
نویسندگان
چکیده
منابع مشابه
The Object Detection Efficiency in Synthetic Aperture Radar Systems
The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in synthetic aperture radar (SAR) systems using optimal resolution algorithms. By applying the specified technique, the expressions have been obtained for the false alarm and cor...
متن کاملPassive Synthetic Aperture Radar Imaging of Ground Moving Targets
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متن کاملInverse Synthetic Aperture Radar
1The school of ITEF, The University of Queensland, Brisbane 4072, Australia 2Department of Information Engineering, University of Pisa, Via G. Caruso 16, 56122 Pisa, Italy 3 School of Information Technology & Electrical Engineering, University of Queensland, Brisbane 4072, Australia 4Radar Modelling & Analysis Group, Electronic Warfare & Radar Division, Defence Science & Technology Organisation...
متن کاملSynthetic aperture radar interferometry
Synthetic aperture radar (SAR) is a coherent active microwave imaging method. In remote sensing it is used for mapping the scattering properties of the Earth’s surface in the respective wavelength domain. Many physical and geometric parameters of the imaged scene contribute to the grey value of a SAR image pixel. Scene inversion suffers from this high ambiguity and requires SAR data taken at di...
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Signal Processing
سال: 2018
ISSN: 1932-4553,1941-0484
DOI: 10.1109/jstsp.2017.2784181