Results 21 to 30 of about 18,258,763 (354)
Motion classification for radar moving target via STFT and convolution neural network
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
Contextualized Small Target Detection Network for Small Target Goat Face Detection
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
SCTransNet: Spatial-Channel Cross Transformer Network for Infrared Small Target Detection [PDF]
Infrared small target detection (IRSTD) has recently benefitted greatly from U-shaped neural models. However, largely overlooking effective global information modeling, existing techniques struggle when the target has high similarities with the ...
Shuai Yuan +4 more
semanticscholar +1 more source
Attentional Local Contrast Networks for Infrared Small Target Detection [PDF]
To mitigate the issue of minimal intrinsic features for pure data-driven methods, in this article, we propose a novel model-driven deep network for infrared small target detection, which combines discriminative networks and conventional model-driven ...
Yimian Dai +3 more
semanticscholar +1 more source
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
Infrared Small Target Detection with Scale and Location Sensitivity [PDF]
Recently, infrared small target detection (IRSTD) has been dominated by deep-learning-based methods. However, these methods mainly focus on the design of complex model structures to extract discriminative features, leaving the loss functions for IRSTD ...
Qian-Kun Liu +4 more
semanticscholar +1 more source
Multi-Target Detection Capability of Linear Fusion Approach Under Different Swerling Models of Target Fluctuation [PDF]
In evolving radar systems, detection is regarded as a fundamental stage in their receiving end. Consequently, detection performance enhancement of a CFAR variant represents the basic requirement of these systems, since the CFAR strategy plays a key role ...
Mohamed Bakry El_Mashade
core
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
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
Infrared Small and Dim Target Detection With Transformer Under Complex Backgrounds
The infrared small and dim (S&D) target detection is one of the key techniques in the infrared search and tracking system. Since the local regions similar to infrared S&D targets spread over the whole background, exploring the correlation amongst image ...
Fangcen Liu +5 more
semanticscholar +1 more source

