Results 31 to 40 of about 824,134 (332)
Multi-spectral random illumination using a liquid crystal spatial light modulator
Journal of the European Optical Society-Rapid Publications, 2018 Background Using phase-only liquid crystal spatial light modulator (LC-SLM) to generate random illumination is always used in phase-retrieval and single pixel imaging as it have high energy efficiency.
Xiao Chen, Zhiguang Shi, Weidong Hu
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Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In remote sensing field, there are many applications of object detection in recent years, which demands a great number of labeled data. However, we may be faced with some cases where only limited data are available.
Zixuan Xiao +3 more
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Acoustic Model Merging Using Acoustic Models from Multilingual Speakers for Automatic Speech Recognition [PDF]
, 2014 International audienceMany studies have explored on the usage of existing multilingual speech corpora to build an acoustic model for a target language.
Besacier, Laurent +2 more
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A Robust Multi-Sensor Data Fusion Clustering Algorithm Based on Density Peaks
Sensors, 2019 In this paper, a novel multi-sensor clustering algorithm, based on the density peaks clustering (DPC) algorithm, is proposed to address the multi-sensor data fusion (MSDF) problem.
Jiande Fan, Weixin Xie, Haocui Du
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Extended Target Marginal Distribution Poisson Multi-Bernoulli Mixture Filter
Sensors, 2020 The existence of clutter, unknown measurement sources, unknown number of targets, and undetected probability are problems for multi-extended target tracking, to address these problems; this paper proposes a gamma-Gaussian-inverse Wishart (GGIW ...
Haocui Du, Weixin Xie
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An Unmixing-Based Network for Underwater Target Detection From Hyperspectral Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Detecting underwater targets from hyperspectral imagery makes a profound impact on marine exploration. Available methods mainly tackle this problem by modifying the land-based detection algorithms with classical bathymetric models, which usually fail to ...
Jiahao Qi +5 more
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LW-CMDANet: A Novel Attention Network for SAR Automatic Target Recognition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Deep-learning-based synthetic aperture radar automatic target recognition (SAR-ATR) plays a significant role in the military and civilian fields. However, data limitation and large computational cost are still severe challenges in the actual application ...
Ping Lang +5 more
semanticscholar +1 more source
A Novel FEM Based T-S Fuzzy Particle Filtering for Bearings-Only Maneuvering Target Tracking
Sensors, 2019 In this paper, we propose a novel fuzzy expectation maximization (FEM) based Takagi-Sugeno (T-S) fuzzy particle filtering (FEMTS-PF) algorithm for a passive sensor system.
Xiaoli Wang, Liangqun Li, Weixin Xie
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IET Radar, Sonar & Navigation, 2022 This paper focuses on how to obtain globally optimal multisensor data association results under the condition that the number of targets is unknown. This problem is likely to occur in scenarios where the sensors’ fields of view (FoVs) are limited.
Feng Ma +3 more
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Automatic recognition of military vehicles with Krawtchouk moments [PDF]
, 2016 The challenge of Automatic Target Recognition (ATR) of military targets within a Synthetic Aperture Radar (SAR) scene is addressed in this paper. The proposed approach exploits the discrete defined Krawtchouk moments, that are able to represent a ...
Clemente, Carmine +4 more
core +1 more source