Results 1 to 10 of about 48,067 (197)
Using Classify-While-Scan (CWS) Technology to Enhance Unmanned Air Traffic Management (UTM)
Drones, 2022 Drone detection radar systems have been verified for supporting unmanned air traffic management (UTM). Here, we propose the concept of classify while scan (CWS) technology to improve the detection performance of drone detection radar systems and then to ...
Jiangkun Gong +4 more
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One-vs-All Convolutional Neural Networks for Synthetic Aperture Radar Target Recognition
Cybernetics and Information Technologies, 2022 Convolutional Neural Networks (CNN) have been widely utilized for Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) images. However, a large number of parameters and a huge training data requirements limit CNN’s use in SAR ATR.
Babu Bileesh Plakkal +1 more
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Radar Target Recognition by Convolutional Capsule Networks Based on High-Resolution Range Profile
IEEE Access, 2022 Automatic target recognition (ATR) is of increasing importance for the modern radar system, where the high-resolution range profile (HRRP) is essential.
Xianwen Zhang +3 more
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Buffered Reset Leads to Improved Compression in Fuzzy ARTMAP Classification of Radar Range Profiles [PDF]
, 1996 Fuzzy ARTMAP has to date been applied to a variety of automatic target recognition tasks, including radar range profile classification. In simulations of this task, it has demonstrated significant compression compared to k-nearest-neighbor classifiers ...
Grossberg, Stephen +2 more
core +1 more source
Automated analysis of radar imagery of Venus: handling lack of ground truth [PDF]
, 1994 Lack of verifiable ground truth is a common problem in remote sensing image analysis. For example, consider the synthetic aperture radar (SAR) image data of Venus obtained by the Magellan spacecraft.
Burl, M. C. +3 more
core +1 more source
Remote Sensing, 2018 The algorithm of synthetic aperture radar (SAR) for automatic target recognition consists of two stages: feature extraction and classification. The quality of extracted features has significant impacts on the final classification performance.
Haipeng Wang +3 more
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Classification of unarmed/armed personnel using the NetRAD multistatic radar for micro-Doppler and singular value decomposition features [PDF]
, 2015 In this letter, we present the use of experimental human micro-Doppler signature data gathered by a multistatic radar system to discriminate between unarmed and potentially armed personnel walking along different trajectories.
Fioranelli, Francesco +2 more
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Leida xuebaoIn recent years, target recognition systems based on radar sensor networks have been widely studied in the field of automatic target recognition. These systems observe the target from multiple angles to achieve robust recognition, which also brings the ...
Hao WAN, Jing LIANG
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Radar HRRP Target Recognition via Semi-Supervised Multi-Task Deep Network
IEEE Access, 2019 Feature representation based on the high resolution range profile (HRRP) is the key technology in radar automatic target recognition(RATR). In this paper, we design a deep-u-blind denoising network(DUBDNet) to extract features with high-noise-stability ...
Chenkai Zhao +4 more
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Sparse representation-based SAR imaging [PDF]
, 2009 There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying ...
Cetin, Mujdat +3 more
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