Results 251 to 260 of about 199,372 (271)
Some of the next articles are maybe not open access.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
In this paper, we identify and address a serious design bias of existing salient object detection (SOD) datasets, which unrealistically assume that each image should contain at least one clear and uncluttered salient object. This design bias has led to a
Deng-Ping Fan +4 more
semanticscholar +1 more source
In this paper, we identify and address a serious design bias of existing salient object detection (SOD) datasets, which unrealistically assume that each image should contain at least one clear and uncluttered salient object. This design bias has led to a
Deng-Ping Fan +4 more
semanticscholar +1 more source
Persymmetric Detection of Radar Targets in Nonhomogeneous and Non-Gaussian Sea Clutter
IEEE Transactions on Geoscience and Remote Sensing, 2021This article addresses the detection problem of radar targets embedded in nonhomogeneous and non-Gaussian sea clutter. Nonhomogeneity leads to insufficiency of secondary data for estimating the clutter speckle covariance matrix, and non-Gaussianity ...
Jian Xue, Shu-wen Xu, Jun Liu
semanticscholar +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
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
Model for Non-Gaussian Sea Clutter Amplitudes Using Generalized Inverse Gaussian Texture
IEEE Geoscience and Remote Sensing Letters, 2019In this letter, we focus on the statistical modeling of sea clutter amplitudes. Due to its non-Gaussian nature, the existing statistical models are sometimes difficult to represent well the heavy-tailed portion of amplitude distribution.
Jian Xue, Shu-wen Xu, Jun Liu, P. Shui
semanticscholar +1 more source