Results 41 to 50 of about 66,153 (261)
Design of DRFM jamming simulator using virtual instrument
Dianzi Jishu Yingyong, 2022 In order to meet the technical verification and system testing requirements of radar countermeasures against digital radio frequency memory(DRFM) jamming, a modular, scalable, lightweight and portable vector signal transceiver combined with DRFM ...
Wang Min, Jiang Yanwen, Fan Hongqi
doaj +1 more source
A Channelization-Based DOA Estimation Method for Wideband Signals
Sensors, 2016 In this paper, we propose a novel direction of arrival (DOA) estimation method for wideband signals with sensor arrays. The proposed method splits the wideband array output into multiple frequency sub-channels and estimates the signal parameters using a ...
Rui Guo +3 more
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Target Recognition for the Automatically Targeting Variable Rate Sprayer [PDF]
, 2011 In order to quickly and accurately realize target recognition when the crop demanding, adopt green strength of RGB‘s method to identify the crop from the background of elaphic, the recognition accuracy was more than 98%. Use density DBSCAN fuzzy clustering algorithm, by means of setting two parameters ε and MinN, in the density DBSCAN fuzzy clustering ...
Maogang Li +3 more
openaire +2 more sources
AUTOMATIC TARGET RECOGNITION IN CLUTTERED VISIBLE IMAGERY [PDF]
Journal of Computer Science, 2013 Detection of a target from among similar/dissimilar targets in a cluttered image is vital in automatic target recognition. A MACH filter is used for the target d etection in cluttered imagery. The cluttered images are correlated using the filter formulated from trainin g images. The target is expected to be detected in the first highest peak.
M. Jasmine Pemeena Priyadarsini +4 more
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Remote Sensing, 2018 Geospatial object detection from high spatial resolution (HSR) remote sensing imagery is a heated and challenging problem in the field of automatic image interpretation.
Shiqi Chen, Ronghui Zhan, Jun Zhang
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Low-Rank and Sparse Matrix Decomposition with Cluster Weighting for Hyperspectral Anomaly Detectiond
Remote Sensing, 2018 Hyperspectral anomaly detection plays an important role in the field of remote sensing. It provides a way to distinguish interested targets from the background without any prior knowledge. The majority of pixels in the hyperspectral dataset belong to the
Lingxiao Zhu, Gongjian Wen, Shaohua Qiu
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Arbitrary clutter extended target probability hypothesis density filter
IET Radar, Sonar & Navigation, 2021 Based on the random finite set (RFS) framework and the probability hypothesis density (PHD) filter, the extended target PHD (ET‐PHD) filter is proposed for multiple extended target tracking.
Xinglin Shen +4 more
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Few Shot Object Detection for SAR Images via Feature Enhancement and Dynamic Relationship Modeling
Remote Sensing, 2022 Current Synthetic Aperture Radar (SAR) image object detection methods require huge amounts of annotated data and can only detect the categories that appears in the training set.
Shiqi Chen +4 more
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Leida xuebao, 2016 Nowadays, high-speed sampling and transmission is a foremost challenge of radar system. In order to solve this problem, a compressive sensing approach is proposed for radar target signals in this study.
Zhong Jinrong, Wen Gongjian
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
wiley +1 more source