Results 21 to 30 of about 607 (212)
Deep learning‐based unmanned aerial vehicle detection in the low altitude clutter background
IET Signal Processing, 2022 Unmanned aerial vehicles (UAVs), widely used due to their low cost and versatility, pose security and privacy threats, which calls for their reliable recognition at low altitudes.
Zeyang Wu, Yuexing Peng, Wenbo Wang
doaj +1 more source
Intelligent Suppression Method for Ionospheric Clutter Based on Clustering and Greedy Strategy
Leida xuebao, 2020 Clutter is a term used for unwanted echoes in electronic systems, particularly in reference to radars. Such echoes are typically returned from ground, sea, rain, animals/insects, chaff, and atmospheric turbulences, and can cause serious performance ...
Yinsheng WEI, Jianyu ZHOU, Rongqing XU
doaj +1 more source
Sensors, 2018 In bistatic forward-looking synthetic aperture radar (BFSAR) ground moving target detection (GMTD), the suppression of the strong and heterogeneous ground clutter is one of the most crucial and challenging issues. Due to the bistatic forward-looking mode
Zhutian Liu +5 more
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Leida xuebao, 2013 Under the geometry of geosynchronous satellite-air bistatic SAR where the geosynchronous satellite is the transmitter and aerostat is the receiver, in order to suppress clutter and detect slowly moving target using Space Time Adaptive Processing (STAP ...
Zhang Dan-dan +3 more
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Empirical model for SAR ground clutter data
IET Signal Processing, 2017 In this study, the authors present an effective and flexible statistical model, called Burr Type‐XII distribution (BXIID), for empirical modelling of synthetic aperture radar (SAR) clutter amplitude. Also, an estimator based on method of log‐cumulants (MoLC) is proposed for the parameters of BXIID.
Dheeren Ku Mahapatra, Lakshi Prosad Roy
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An Automatic Framework for Figure-Ground Segmentation in Cluttered Backgrounds [PDF]
Procedings of the British Machine Vision Conference 2007, 2007 This paper proposes an automatic framework for figure-ground segmentation of edged images in the presence of cluttered background. Our work employs perceptual grouping concepts to characterize image segments by means of their saliency, which is computed via tensor voting.
Leandro A. Loss +3 more
openaire +2 more sources
A False Alarm Elimination Algorithm of Foreign Objects Debris Detection Based on Duffing Oscillator
IEEE Access, 2022 The main challenge of foreign objects debris (FOD) monitoring based on millimeter-wave (MMW) radar is the interference of strong ground clutter. The clutter-map constant false alarm rate (CM-CFAR) method is commonly utilized for FOD monitoring, but ...
Jun Zhong +3 more
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GPR Clutter Removal Based on Weighted Nuclear Norm Minimization for Nonparallel Cases
Sensors, 2023 Ground-penetrating radar (GPR) is an effective geophysical electromagnetic method for underground target detection. However, the target response is usually overwhelmed by strong clutter, thus damaging the detection performance.
Li Liu +6 more
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Advanced Robotics Research, EarlyView.This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska +2 more
wiley +1 more source
Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies
Advanced Robotics Research, EarlyView.An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley +1 more source