Results 261 to 270 of about 202,761 (319)
Some of the next articles are maybe not open access.
Scientific American Mind, 2013
If parting with possessions is a serious problem, you can now be officially diagnosed with hoarding ...
Scott O. Lilienfeld, Hal Arkowitz
openaire +1 more source
If parting with possessions is a serious problem, you can now be officially diagnosed with hoarding ...
Scott O. Lilienfeld, Hal Arkowitz
openaire +1 more source
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
European Conference on Computer Vision, 2018We provide a comprehensive evaluation of salient object detection (SOD) models. Our analysis identifies a serious design bias of existing SOD datasets which assumes that each image contains at least one clearly outstanding salient object in low clutter ...
Deng-Ping Fan +5 more
semanticscholar +1 more source
Adaptive Clutter Suppression in Randomized Stepped-Frequency Radar
IEEE Transactions on Aerospace and Electronic Systems, 2021Randomized stepped-frequency (RSF) radar, which transmits random-frequency pulses in a coherent processing interval (CPI), has an excellent electronic counter-countermeasures (ECCM) performance and the ability to synthesize wide-frequency band with a ...
Shuai Liu +4 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2020
This paper proposes an outliers-robust constant false-alarm rate (OR-CFAR) detector of Gaussian clutter based on the truncated-maximum-likelihood estimator (TMLE) in SAR imagery. The proposed method aims at elevating the detection performance in multiple-
Jiaqiu Ai +4 more
semanticscholar +1 more source
This paper proposes an outliers-robust constant false-alarm rate (OR-CFAR) detector of Gaussian clutter based on the truncated-maximum-likelihood estimator (TMLE) in SAR imagery. The proposed method aims at elevating the detection performance in multiple-
Jiaqiu Ai +4 more
semanticscholar +1 more source
Improved Clutter Removal in GPR by Robust Nonnegative Matrix Factorization
IEEE Geoscience and Remote Sensing Letters, 2020The clutter encountered in the ground-penetrating radar (GPR) system severely decreases the visibility of subsurface objects, thus highly degrading the performance of the target detection algorithms.
D. Kumlu, I. Erer
semanticscholar +1 more source
An Improved CA-CFAR Method for Ship Target Detection in Strong Clutter Using UHF Radar
IEEE Signal Processing Letters, 2020In this letter, the application of ultra-high frequency (UHF) radar for ship target detection over river is investigated for the first time. Due to the wide beam width of antenna, the ship detection of the UHF radar suffers from the broaden river ...
Chunming Kuang +4 more
semanticscholar +1 more source
Signal Processing, 2020
This paper studies the design of efficient detector for radar targets in compound-Gaussian clutter with inverse Gaussian texture (CG-IG clutter). Due to inclusion of the modified Bessel function, the optimum coherent detector in CG-IG clutter cannot be ...
Jian Xue, Shu-wen Xu, P. Shui
semanticscholar +1 more source
This paper studies the design of efficient detector for radar targets in compound-Gaussian clutter with inverse Gaussian texture (CG-IG clutter). Due to inclusion of the modified Bessel function, the optimum coherent detector in CG-IG clutter cannot be ...
Jian Xue, Shu-wen Xu, P. Shui
semanticscholar +1 more source
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
One of the central problems in Automated Target Recognition is to accommodate the infinite variety of clutter in real military environments. The principle focus of our paper is on the construction of metric spaces where the metric measures the distance between objects of interest invariant to the infinite variety of clutter. Such metrics are formulated
Dmitri, Bitouk +2 more
openaire +2 more sources
One of the central problems in Automated Target Recognition is to accommodate the infinite variety of clutter in real military environments. The principle focus of our paper is on the construction of metric spaces where the metric measures the distance between objects of interest invariant to the infinite variety of clutter. Such metrics are formulated
Dmitri, Bitouk +2 more
openaire +2 more sources
Research on Sea Clutter Reflectivity Using Deep Learning Model in Industry 4.0
IEEE Transactions on Industrial Informatics, 2020The study of sea clutter reflectivity plays an important role in radar performance evaluations in the military industry. The industrial bodies are trying to apply the sea clutter intelligent processing technology to the radar system with the form of ...
Liwen Ma +6 more
semanticscholar +1 more source
CA-CFAR Detection Performance in Homogeneous Weibull Clutter
IEEE Geoscience and Remote Sensing Letters, 2019This letter presents a novel and exact formulation for the probability of detection of a cell-averaging, constant false-alarm rate (CFAR) radar system operating in a homogeneous Weibull clutter environment.
Fernando Darío Almeida García +3 more
semanticscholar +1 more source