Results 31 to 40 of about 739,642 (309)

A Machine Learning Based Vehicle Classification in Forward Scattering Radar

IEEE Access, 2022
The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected targets should exist in the narrow baseline to obtain their tracking at an angle of 180 degree.
Mohammed E. A. Kanona, Mohamad Y. Alias, Mohamed Khalafalla Hassan, Khalid S. Mohamed, Mutaz H. H. Khairi, Mosab Hamdan, Yassin A. Hamdalla, Omnia M. Osman, Ahmed M. O. Ahmed   +8 more
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Attribute-Guided Multi-Scale Prototypical Network for Few-Shot SAR Target Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Few-shot synthetic aperture radar (SAR) target classification has received more and more attention in recent years, where most of the existing methods have applied off-the-shelf networks designed for natural images to SAR images, ignoring the special ...
Siyuan Wang, Yinghua Wang, Hongwei Liu, Yuanshuang Sun   +3 more
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Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras

Sensors, 2019
Compressive sensing has seen many applications in recent years. One type of compressive sensing device is the Pixel-wise Code Exposure (PCE) camera, which has low power consumption and individual control of pixel exposure time.
Chiman Kwan, Bryan Chou, Jonathan Yang, Akshay Rangamani, Trac Tran, Jack Zhang, Ralph Etienne-Cummings   +6 more
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YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems

Sensors, 2020
This paper proposes a method to simultaneously detect and classify objects by using a deep learning model, specifically you only look once (YOLO), with pre-processed automotive radar signals.
Woosuk Kim, Hyunwoong Cho, Jongseok Kim, Byungkwan Kim, Seongwook Lee   +4 more
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Data augmentation and deep neural network classification based on ship radiated noise

Frontiers in Marine Science, 2023
IntroductionVarious types of ships sail at sea, and identifying maritime ship types through shipradiated noise is one of the tasks of ocean observation.
Zhuofan Xie, Zhuofan Xie, Zhuofan Xie, Rongbin Lin, Rongbin Lin, Rongbin Lin, Rongbin Lin, Lingzhe Wang, Anmin Zhang, Jiaqing Lin, Xiaoda Tang   +10 more
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Point Cloud Data Processing Optimization in Spectral and Spatial Dimensions Based on Multispectral Lidar for Urban Single-Wood Extraction

ISPRS International Journal of Geo-Information, 2023
Lidar can effectively obtain three-dimensional information on ground objects. In recent years, lidar has developed rapidly from single-wavelength to multispectral hyperspectral imaging.
Shuo Shi, Xingtao Tang, Bowen Chen, Biwu Chen, Qian Xu, Sifu Bi, Wei Gong   +6 more
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SAR Target Classification Based on Deep Forest Model

Remote Sensing, 2020
Synthetic aperture radar (SAR) has become one of the most important means of information acquisition in today’s society and shows great potential in many fields. Target identification and classification of SAR images are also the focus of research.
Jiahuan Zhang, Hongjun Song, Binbin Zhou
doaj   +1 more source

Contrastive Domain Adaptation-Based Sparse SAR Target Classification under Few-Shot Cases

Remote Sensing, 2023
Due to the imaging mechanism of synthetic aperture radar (SAR), it is difficult and costly to acquire abundant labeled SAR images. Moreover, a typical matched filtering (MF) based image faces the problems of serious noise, sidelobes, and clutters, which ...
Hui Bi, Zehao Liu, Jiarui Deng, Zhongyuan Ji, Jingjing Zhang   +4 more
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Aircraft Target Classification for Conventional Narrow-Band Radar with Multi-Wave Gates Sparse Echo Data

Remote Sensing, 2019
For a conventional narrow-band radar system, the detectable information of the target is limited, and it is difficult for the radar to accurately identify the target type.
Wantian Wang, Ziyue Tang, Yichang Chen, Yuanpeng Zhang, Yongjian Sun   +4 more
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Identification of Human Motion Using Radar Sensor in an Indoor Environment

Sensors, 2021
In this paper, we propose a method of identifying human motions, such as standing, walking, running, and crawling, using a millimeter wave radar sensor. In our method, two signal processing is performed in parallel to identify the human motions.
Sung-wook Kang, Min-ho Jang, Seongwook Lee   +2 more
doaj   +1 more source