Results 21 to 30 of about 146,950 (268)
Application of Multi-Sensor Fusion Technology in Target Detection and Recognition [PDF]
, 2022 Application of multi-sensor fusion technology has drawn a lot of industrial and academic interest in recent years. The multi-sensor fusion methods are widely used in many applications, such as autonomous systems, remote sensing, video surveillance, and ...
core +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 +3 more
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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 +4 more
doaj +1 more source
Motion classification for radar moving target via STFT and convolution neural network
The Journal of Engineering, 2019 Radar moving target detection (MTD) technology is a key technology in the field of radar signal processing. The MTD method of radar has a better performance when applied to uniform motion detection although it has limited performance in other aspects ...
Xiaoqian Mou +3 more
doaj +1 more source
IEEE Access, 2019 In this paper, an adaptive dual-threshold sparse Fourier transform (ADT-SFT) algorithm is proposed, which enables the application of the SFT and robust SFT (RSFT) to the moving target detection in clutter background.
Xiaohan Yu +5 more
doaj +1 more source
Radar Target Detection with CNN
2021 29th European Signal Processing Conference (EUSIPCO), 2021 Target detection is a fundamental radar application that is traditionally carried out by Constant False Alarm Rate (CFAR) detectors. This paper proposes a Convolutional Neural Network (CNN) based detector (RadCNN) to replace the standard CFAR detectors for a typical pulsed Doppler radar.
openaire +2 more sources
Detecting Harmful Memes and Their Targets [PDF]
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 harmful memes, multimodality, social ...
Shraman Pramanick +6 more
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IEEE Access, 2019 Reliable and fast detection of maneuvering target in complex background is important for both civilian and military applications. It is rather difficult due to the complex motion resulting in energy spread in time and frequency domain.
Xiaolong Chen +4 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Radar maneuvering target detection in clutter background should not only consider the complex characteristics of the target to accumulate its energy as much as possible, but also suppress clutter to improve the signal-to-clutter ratio (SCR).
Xiaolong Chen +3 more
doaj +1 more source
Micromachines, 2023 Space vehicles such as missiles and aircraft have relatively long tracking distances. Infrared (IR) detectors are used for small target detection. The target presents point target characteristics, which lack contour, shape, and texture information.
Juan Chen +6 more
doaj +1 more source