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A Radar Target Classification Approach for Bird Elimination
2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2019The aim of this paper is to identify a classifier that can be used to eliminate the effects of bird movements on tracks of air targets for increasing safety level of radar detections. In order to achieve this, classification algorithms which are widely used in the literature are applied to the features extracted from the tracks of radar targets and ...
Fatih Yesil +3 more
openaire +1 more source
International Radar Symposium, 2019
The present algorithm stands for a novel method of automatic radar target classification. It specifically uses the recognition of target-typical characteristics and features of the spectrum and of the cepstrum, derived from the time-signal. In particular,
F. Hofele
semanticscholar +1 more source
The present algorithm stands for a novel method of automatic radar target classification. It specifically uses the recognition of target-typical characteristics and features of the spectrum and of the cepstrum, derived from the time-signal. In particular,
F. Hofele
semanticscholar +1 more source
Radar tracking and classification of littoral targets
SPIE Proceedings, 2012Radar can provide inexpensive wide-area surveillance of river and port traffic for both security and emergency response. We demonstrate the tracking of multiple vessels as well as the micro-Doppler signatures of different classes of small vessels, including kayaks and zodiacs.
Jerry Silvious, Dave Tahmoush
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Target classification by radar
IET Seminar on High Resolution Imaging and Target Classification, 2006Target classification by radar has enormous potential with many important applications. So far, with a couple of notable exceptions, this has proved to be an extremely challenging problem with no obvious solution. The chief method for improving the quality of information gathered has been to improve resolution in both range and cross-range dimensions ...
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Micro-Doppler based target classification in ground surveillance radar systems
Digit. Signal Process., 2020In this paper, we investigate effect of different Time-Frequency (TF) analysis of micro-Doppler signature for robust and efficient automatic target classification in next-generation radar systems.
R. Amiri, A. Shahzadi
semanticscholar +1 more source
Fully Adaptive Radar for Target Classification
2019 IEEE Radar Conference (RadarConf), 2019In this paper, the fully adaptive radar (FAR) framework is applied to the problem of target classification. The FAR framework mimics the perception-action cycle of cognition and adapts its sensing based on its perception of the environment, system performance goals, and sensor costs.
Kristine L. Bell +3 more
openaire +1 more source
IEEE Transactions on Image Processing, 2023
Restricted by observation conditions, some scarce targets in the synthetic aperture radar (SAR) image only have a few samples, making effective classification a challenging task.
Minjia Yang +3 more
semanticscholar +1 more source
Restricted by observation conditions, some scarce targets in the synthetic aperture radar (SAR) image only have a few samples, making effective classification a challenging task.
Minjia Yang +3 more
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2023
High-resolution range profile (HRRP) sequences have great potential for space target classification because they can provide both scattering information and micromotion information. However, many factors cause an obtained HRRP sequence for a space target
Yuanpeng Zhang +5 more
semanticscholar +1 more source
High-resolution range profile (HRRP) sequences have great potential for space target classification because they can provide both scattering information and micromotion information. However, many factors cause an obtained HRRP sequence for a space target
Yuanpeng Zhang +5 more
semanticscholar +1 more source
Target Classification Using Combined YOLO-SVM in High-Resolution Automotive FMCW Radar
International Radar Conference, 2020In this paper, we propose a method to classify the human and vehicle objects by combining a support vector machine (SVM) and the deep learning model, you only look once (YOLO), in a high-resolution automotive radar system.
Woosuk Kim +4 more
semanticscholar +1 more source
SAR Target Classification Based on Radar Image Luminance Analysis by Deep Learning
IEEE Sensors Letters, 2020This letter introduces a novel synthesis aperture radar (SAR) target classification method that is quite different from the conventional ones by using the luminance information of the radar image.
Hongliang Zhu
exaly +2 more sources