Results 11 to 20 of about 758,961 (266)

Integrating Target and Shadow Features for SAR Target Recognition. [PDF]

open access: yesSensors (Basel), 2023
Synthetic aperture radar (SAR) sensor often produces a shadow in pairs with the target due to its slant-viewing imaging. As a result, shadows in SAR images can provide critical discriminative features for classifiers, such as target contours and relative positions.
Zhao Z, Xue X, Mariam I, Zhou X.
europepmc   +4 more sources

MicroRNAs: Target Recognition and Regulatory Functions [PDF]

open access: yesCell, 2009
MicroRNAs (miRNAs) are endogenous approximately 23 nt RNAs that play important gene-regulatory roles in animals and plants by pairing to the mRNAs of protein-coding genes to direct their posttranscriptional repression. This review outlines the current understanding of miRNA target recognition in animals and discusses the widespread impact of miRNAs on ...
David P Bartel
exaly   +4 more sources

Few Samples of SAR Automatic Target Recognition Based on Enhanced-Shape CNN

open access: yesJournal of Mathematics, 2021
Synthetic Aperture Radar (SAR), as one of the important and significant methods for obtaining target characteristics in the field of remote sensing, has been applied to many fields including intelligence search, topographic surveying, mapping, and ...
Mengmeng Huang, Fang Liu, Xianfa Meng
doaj   +1 more source

Low-Rank Approximation and Multiple Sparse Constraint Modeling for Infrared Low-Flying Fixed-Wing UAV Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Infrared dim small target detection is one of the important contents in the research of military applications such as remote sensing intelligence reconnaissance, long-range precision strike, aerospace offense–defense confrontation, etc.
Wei Xue   +5 more
doaj   +1 more source

A Lightweight, Arbitrary-oriented SAR Ship Detector via Feature Map-based Knowledge Distillation

open access: yesLeida xuebao, 2023
In the Synthetic Aperture Radar (SAR) ship target detection task, the targets have a large aspect ratio and dense distribution, and they are arranged in arbitrary directions. The oriented bounding box-based detection methods can output accurate detection
Shiqi CHEN   +4 more
doaj   +1 more source

Pose Estimation of Uncooperative Unknown Space Objects from a Single Image

open access: yesInternational Journal of Aerospace Engineering, 2020
Estimating the 3D pose of the space object from a single image is an important but challenging work. Most of the existing methods estimate the 3D pose of known space objects and assume that the detailed geometry of a specific object is known.
Xiaoyuan Ren, Libing Jiang, Zhuang Wang
doaj   +1 more source

A target localisation method with monostatic radar via multi‐observation data association

open access: yesIET Radar, Sonar & Navigation, 2023
Traditionally, radar‐based localisation systems are designed to deal with targets in line‐of‐sight (LOS) scenarios. However, the performance of those radar systems is limited by multipath echoes reflected from non‐line‐of‐sight (NLOS) targets and walls ...
Rui Ding   +4 more
doaj   +1 more source

Auxiliary Truncated Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking

open access: yesSensors, 2017
Novel auxiliary truncated unscented Kalman filtering (ATUKF) is proposed for bearings-only maneuvering target tracking in this paper. In the proposed algorithm, to deal with arbitrary changes in motion models, a modified prior probability density ...
Liang-Qun Li   +3 more
doaj   +1 more source

Multi-spectral random illumination using a liquid crystal spatial light modulator

open access: yesJournal 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
doaj   +1 more source

A Robust Multi-Sensor Data Fusion Clustering Algorithm Based on Density Peaks

open access: yesSensors, 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
doaj   +1 more source

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