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Integrating Target and Shadow Features for SAR Target Recognition. [PDF]
Sensors (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.
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Few Samples of SAR Automatic Target Recognition Based on Enhanced-Shape CNN
Journal 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
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IEEE 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
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A Lightweight, Arbitrary-oriented SAR Ship Detector via Feature Map-based Knowledge Distillation
Leida 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
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Pose Estimation of Uncooperative Unknown Space Objects from a Single Image
International 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
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A target localisation method with monostatic radar via multi‐observation data association
IET 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
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Auxiliary Truncated Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking
Sensors, 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
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Venomave: Targeted Poisoning Against Speech Recognition
2023 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
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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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