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

open access: yesSensors, 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.
Zhiyuan Zhao   +3 more
openaire   +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

A structural view of microRNA-target recognition [PDF]

open access: yes, 2016
It is well established that the correct identification of the messenger RNA targeted by a given microRNA (miRNA) is a difficult problem, and that available methods all suffer from low specificity.
Leoni, Guido, Tramontano, Anna
core   +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

Time course of target recognition in visual search [PDF]

open access: yes, 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

Venomave: Targeted Poisoning Against Speech Recognition

open access: yes2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023
Despite remarkable improvements, automatic speech recognition is susceptible to adversarial perturbations. Compared to standard machine learning architectures, these attacks against speech recognition are significantly more challenging, especially since the inputs to a speech recognition system are time series that contain both acoustic and linguistic ...
Aghakhani, Hojjat   +6 more
openaire   +2 more sources

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