Results 11 to 20 of about 8,409,422 (284)

Infrared Dim Small Target Detection Networks: A Review

open access: yesSensors
In recent years, with the rapid development of deep learning and its outstanding capabilities in target detection, innovative methods have been introduced for infrared dim small target detection.
Yongbo Cheng   +3 more
doaj   +4 more sources

PixelGame: Infrared Small Target Segmentation as a Nash Equilibrium

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
A key challenge of infrared small target segmentation (ISTS) is to balance false negative pixels (FNs) and false positive pixels (FPs). Traditional methods combine FNs and FPs into a single objective by weighted sum, and the optimization process is ...
Heng Zhou   +5 more
doaj   +4 more sources

Small Target Detection based on Infrared Image Adaptive [PDF]

open access: yesInternational Journal on Smart Sensing and Intelligent Systems, 2015
Abstract This paper studies the multi-resolution analysis of infrared image preprocessing method based on wavelet transform, wavelet transform infrared image of small target for pretreatment, after pretreatment suppressed image background clutter, improved signal to noise ratio. On this basis, studies based on infrared image sequences
Chen, Hao   +3 more
core   +5 more sources

New Results on Small and Dim Infrared Target Detection [PDF]

open access: yesSensors, 2021
Real-time small infrared (IR) target detection is critical to the performance of the situational awareness system in high-altitude aircraft. However, current IR target detection systems are generally hardware-unfriendly and have difficulty in achieving a
Hao Wang   +4 more
doaj   +4 more sources

Pixel-wise attention driven infrared small target detection network

open access: yesXibei Gongye Daxue Xuebao
Infrared small target detection has been widely used in the military and civil fields. The detection difficulties lie in small target size, few details and complex background interference.
WANG Xiaolin   +4 more
doaj   +2 more sources

Mamba-Infrared Small Target Detection: Multi-Context Hierarchical Aggregation Mamba for Robust Infrared Small Target Detection

open access: yesEngineered Science
Infrared small target detection (ISTD) plays a crucial role in applications such as security surveillance, maritime rescue, and satellite remote sensing.
Lingyan Ran   +3 more
doaj   +2 more sources

CourtNet for Infrared Small-Target Detection

open access: yesCoRR, 2022
Infrared small-target detection (ISTD) is an important computer vision task. ISTD aims at separating small targets from complex background clutter. The infrared radiation decays over distances, making the targets highly dim and prone to confusion with the background clutter, which makes the detector challenging to balance the precision and recall rate.
Jingchao Peng   +4 more
openaire   +2 more sources

An Infrared Small Target Detection Method Based on Attention Mechanism. [PDF]

open access: yesSensors (Basel), 2023
The human visual attention system plays an important role in infrared target recognition because it can quickly and accurately recognize infrared small targets and has good scene adaptability. This paper proposes an infrared small target detection method
Wang X, Lu R, Bi H, Li Y.
europepmc   +2 more sources

Asymmetric Contextual Modulation for Infrared Small Target Detection [PDF]

open access: yes2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
Single-frame infrared small target detection remains a challenge not only due to the scarcity of intrinsic target characteristics but also because of lacking a public dataset. In this paper, we first contribute an open dataset with high-quality annotations to advance the research in this field. We also propose an asymmetric contextual modulation module
Yimian Dai   +3 more
openaire   +3 more sources

Infrared small target detection based on multiscale local contrast learning networks

open access: yes, 2022
Recently, model-driven deep networks have achieved excellent detection performance on infrared small targets in cluttered environments. However, its detection performance is sensitive to the hyperparameters in the embedded model-driven module. Therefore,
Liu YP(刘云鹏)   +6 more
core   +3 more sources

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