Results 1 to 10 of about 3,249,608 (341)

Contextualized Small Target Detection Network for Small Target Goat Face Detection

Animals, 2023
With the advancement of deep learning technology, the importance of utilizing deep learning for livestock management is becoming increasingly evident. goat face detection provides a foundation for goat recognition and management.
Yaxin Wang, Ding Han, Liang Wang, Ying Guo, Hongwei Du   +4 more
doaj   +3 more sources

Nanopore-Based Target Sequence Detection. [PDF]

PLoS ONE, 2016
The promise of portable diagnostic devices relies on three basic requirements: comparable sensitivity to established platforms, inexpensive manufacturing and cost of operations, and the ability to survive rugged field conditions.
Trevor J Morin, Tyler Shropshire, Xu Liu, Kyle Briggs, Cindy Huynh, Vincent Tabard-Cossa, Hongyun Wang, William B Dunbar   +7 more
doaj   +4 more sources

Information Geometry-Based Two-Stage Track-Before-Detect Algorithm for Multi-Target Detection in Sea Clutter [PDF]

Entropy
To address the challenges of radar multi-target detection in marine environments, this paper proposes an information geometry (IG)-based, two-stage track-before-detect (TBD) framework.
Jinguo Liu, Hao Wu, Zheng Yang, Xiaoqiang Hua, Yongqiang Cheng   +4 more
doaj   +2 more sources

Multi-Dimensional Automatic Detection of Scanning Radar Images of Marine Targets Based on Radar PPInet

Remote Sensing, 2021
Traditional radar target detection algorithms are mostly based on statistical theory. They have weak generalization capabilities for complex sea clutter environments and diverse target characteristics, and their detection performance would be ...
Xiaolong Chen, Jian Guan, Xiaoqian Mu, Zhigao Wang, Ningbo Liu, Guoqing Wang   +5 more
doaj   +1 more source

A Two-Stage Track-before-Detect Method for Non-Cooperative Bistatic Radar Based on Deep Learning

Remote Sensing, 2023
Compared with traditional active detection radar, non-cooperative bistatic radar has a series of advantages, such as a low cost and low detectability. However, in real-life scenarios, it is limited by the non-cooperation of the radiation source and the ...
Wei Xiong, Yuan Lu, Jie Song, Xiaolong Chen   +3 more
doaj   +1 more source

A Space–Time–Range Joint Adaptive Focusing and Detection Method for Multiple Input Multiple Output Radar

Remote Sensing, 2023
The Multiple Input Multiple Output (MIMO) radar, as a new type of radar, emits orthogonal waveforms, which provide it with waveform diversity characteristics, leading to increased degrees of freedom and improved target detection performance.
Jian Guan, Xiaoqian Mu, Yong Huang, Baoxin Chen, Ningbo Liu, Xiaolong Chen   +5 more
doaj   +1 more source

Experimental Study of Maritime Moving Target Detection Using Hitchhiking Bistatic Radar

Remote Sensing, 2022
Hitchhiking bistatic radar system takes the direct wave signal that is transmitted by the non-cooperative radar emitter as the reference to detect and analyze the target echo signal, so as to realize the positioning and tracking of the target. This radar
Jie Song, Wei Xiong, Xiaolong Chen, Yuan Lu   +3 more
doaj   +1 more source

Time-Range Adaptive Focusing Method Based on APC and Iterative Adaptive Radon-Fourier Transform

Remote Sensing, 2022
In conventional radar signal processing, the cascade of pulse compression (i.e., matched filter) and Radon-Fourier transform (RFT) can extract the estimated scattering coefficient of the target in the range-velocity dimension through long-time coherent ...
Jian Guan, Jiazheng Pei, Yong Huang, Xiaolong Chen, Baoxin Chen   +4 more
doaj   +1 more source

Micro-Motion Classification of Flying Bird and Rotor Drones via Data Augmentation and Modified Multi-Scale CNN

Remote Sensing, 2022
Aiming at the difficult problem of the classification between flying bird and rotary-wing drone by radar, a micro-motion feature classification method is proposed in this paper.
Xiaolong Chen, Hai Zhang, Jie Song, Jian Guan, Jiefang Li, Ziwen He   +5 more
doaj   +1 more source

YOLOX++ for Transmission Line Abnormal Target Detection

IEEE Access, 2023
The detection of abnormal targets in transmission lines plays a significant role in maintaining the stability and safety of transmission systems. To achieve improved detection performance for abnormal targets, we propose a new target detector based on ...
Zhongqin Bi, Lina Jing, Chao Sun, Meijing Shan   +3 more
doaj   +1 more source