Results 231 to 240 of about 235,258 (299)
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IEEE Transactions on Geoscience and Remote Sensing, 2023
This article presents a classification method to classify different marine floating small targets, which can realize effective classification of different targets in strong clutter background.
Shu-wen Xu +4 more
semanticscholar +1 more source
This article presents a classification method to classify different marine floating small targets, which can realize effective classification of different targets in strong clutter background.
Shu-wen Xu +4 more
semanticscholar +1 more source
Radar target classification using support vector machine and subspace methods
IET Radar, Sonar and Navigation, 2015Jia Liu, Ning Fang, Yongjun Xie
exaly +2 more sources
Waveform selection in radar target classification
IEEE Transactions on Information Theory, 2000We apply a sequential experiment design procedure to the problem of signal selection for radar target classification. Radar waveforms are designed to discriminate between targets possessing a doubly spread reflectivity function that are observed in clutter.
Sameh M. Sowelam, Ahmed H. Tewfik
openaire +2 more sources
Radar target type classification and validation
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013The main challenge in analyzing the results of persistent scatterer techniques is to associate each coherent radar reflection to a real-world object, referred to as target type classification. In recent years different methods to perform target type classification were studied.
Prabu Dheenathayalan, Ramon F. Hanssen
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FMICW Radar Target Classification By Neural Network
2020 30th International Conference Radioelektronika (RADIOELEKTRONIKA), 2020This document describes automatic classification of targets detected by the FMICW radar. These targets are counted and sorted to three groups (incoming, outgoing and static targets). We derived this information from the output of the neural network which marked the targets in 2D spectrum. The additional neural network has five layers.
Karel Pitas +5 more
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Polarimetric laser radar target classification
Optics Letters, 2005Imaging laser radar (ladar) systems have been developed for automatic target identification in surveillance systems. Ladar uses the range value at the target pixels to estimate the target's 3-D shape and identify the target. For targets in clutter and partially hidden targets, there are ambiguities in determining which pixels are on target that lead to
Cornell S L, Chun, Firooz A, Sadjadi
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Target classification by conventional radar
Proceedings of International Radar Conference, 2002An approach to aircraft target classification by conventional radar is presented that uses the engine modulation on radar echoes from the detected target. The echo series are rearranged into a graph and the modulation signatures are extracted by an optical Fourier transform.
null Huang Jianjun +2 more
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Optik (Stuttgart), 2019
As one of the key steps in synthetic aperture radar (SAR) target classification, feature extraction plays an important role. In this study, the multi-level dominant scattering images (DSIs) are generated based on the original images, which can better ...
Lizhong Jin, Junjie Chen, Xinguang Peng
semanticscholar +1 more source
As one of the key steps in synthetic aperture radar (SAR) target classification, feature extraction plays an important role. In this study, the multi-level dominant scattering images (DSIs) are generated based on the original images, which can better ...
Lizhong Jin, Junjie Chen, Xinguang Peng
semanticscholar +1 more source
Optimal waveform selection for radar target classification
Proceedings of International Conference on Image Processing, 2002We apply a sequential experiment design procedure to the problem of signal selection for radar target classification. Radar waveforms are designed to discriminate between targets possessing a doubly-spread reflectivity function that are observed in clutter.
Sameh M. Sowelam, Ahmed H. Tewfik
openaire +1 more source
A Machine Learning Based 77 GHz Radar Target Classification for Autonomous Vehicles
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 201977 GHz mmW radar is a powerful essential sensor for the state-of-art and future autonomous vehicles. Besides the traditional intended functionality of mmW radars in target detection and measuring its range and speed, this paper shows that by utilizing ...
Xiuzhang Cai, K. Sarabandi
semanticscholar +1 more source