Results 61 to 70 of about 9,170,751 (397)
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
doaj +1 more source
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
doaj +1 more source
MGSFA-Net: Multiscale Global Scattering Feature Association Network for SAR Ship Target Recognition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingDeep learning has offered new ideas in SAR ship target recognition. Although many methods improve the recognition performance through the improvement of loss function and migration of deep networks, scattering features as the important intrinsic features
Xianghui Zhang +5 more
semanticscholar +1 more source
Underwater acoustic target recognition using attention-based deep neural network.
JASA Express Letters, 2021 Underwater acoustic target recognition based on ship-radiated noise is difficult owing to the complex marine environment and the interference by multiple targets. As an important technology for target recognition, deep-learning has high accuracy but poor
Xu Xiao +4 more
semanticscholar +1 more source
, 2004 Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Rosenberger, C. +2 more
openaire +1 more source
Target flexibility in molecular recognition [PDF]
Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, 2005 Induced-fit effects are well known in the binding of small molecules to proteins and other macromolecular targets. Among other targets, protein kinases are particularly flexible proteins, so that such effects should be considered in attempts at structure-based inhibitor design for kinase targets.
openaire +2 more sources
Hierarchical Recognition System for Target Recognition from Sparse Representations [PDF]
Mathematical Problems in Engineering, 2015 A hierarchical recognition system (HRS) based on constrained Deep Belief Network (DBN) is proposed for SAR Automatic Target Recognition (SAR ATR). As a classical Deep Learning method, DBN has shown great performance on data reconstruction, big data mining, and classification.
Cui Z., Cao Z., Yang J., Ren H.
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Time course of target recognition in visual search [PDF]
, 2010 Visual search is a ubiquitous task of great importance: it allows us to quickly find the objects that we are looking for. During active search for an object (target), eye movements are made to different parts of the scene.
Andreas Kotowicz +4 more
core +5 more sources
Artificial Intelligence-Based Underwater Acoustic Target Recognition: A Survey
Remote SensingUnderwater acoustic target recognition has always played a pivotal role in ocean remote sensing. By analyzing and processing ship-radiated signals, it is possible to determine the type and nature of a target.
Sheng Feng +3 more
semanticscholar +1 more source
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
doaj +1 more source