TEA-LWNet: a lightweight multispectral feature enhancement network based on RGB-NIR fusion for detection of tea leaf diseases and pests. [PDF]
Front Plant SciWang Z, Wang F, Lin H.
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Hand Detection in Hazardous Zones of Frozen Tuna Cutting Machines Based on an Infrared Thermopile Sensor. [PDF]
Sensors (Basel)Yan Z, Zheng X, Feng S, Wang J, Cao B.
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EfficientIR-Det Towards Efficient and Accurate DETR for UAV Infrared Object Detection. [PDF]
Sensors (Basel)Yang X, Li H, Xie X.
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RISTDnet: Robust Infrared Small Target Detection Network
IEEE Geoscience and Remote Sensing Letters, 2022The infrared (IR) small target detection algorithm with a high detection rate, low false alarm rate, and high real-time performance has significant application value in the field of IR remote sensing. IR small targets in complex backgrounds have low contrast and low signal-to-noise ratio (SNR).
Zhipeng Wang, Qingyu Hou, Ye Zhao
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ISTDet: An efficient end-to-end neural network for infrared small target detection
Infrared Physics and Technology, 2021 Infrared small target detection has made many breakthroughs in early warning, guidance and battlefield intelligence. However, infrared small target occupies less pixels and lacks color and texture features, which makes infrared small target detection a ...
Moran Ju, Guangqi Liu
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Detection of small targets in the infrared: an infrared search and track tutorial
Applied Optics, 2021Airborne target detection in the infrared has been classically known as infrared search and track or IRST. From a military point of view, it can be described as target detection at long ranges where the target image is subpixel in size. Here, the target is “unresolved.” It can also describe the detection of aircraft near the observer using distributed ...
Ronald Driggers +6 more
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Detectability of infrared small targets
Infrared Physics & Technology, 2010Selecting the most appropriate algorithms for detecting small targets in varied infrared image scenes is frequently needed, since the relative characteristics between small targets and backgrounds in varied scenes are disparate. To solve that problem, a novel criterion is proposed in this article to measure the difficulty in distinguishing small ...
Kang Huang, Xia Mao
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Infrared small target detection with compressive measurements
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016A novel scheme for infrared small target detection in compressive domain is presented. First, the original image is separated into two components, i.e., the target and the background. Next, we compress them individually. Finally, the compressed target image is utilized to construct the corresponding compressive detector to perform detection in ...
Lijuan Xie +3 more
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An Adaptation of Cnn for Small Target Detection in the Infrared
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Due to the low signal to noise ratio and limited spatial resolution, small target detection in an infrared image is a challenging task. Existing methods often have high false alarm rates and low probabilities of detection when infrared small targets submerge in the background clutter.
Dong Zhao 0005 +3 more
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Multiple Feature Analysis for Infrared Small Target Detection
IEEE Geoscience and Remote Sensing Letters, 2017Detection of small target has been an important and challenging task in infrared systems. Most detection algorithms which only use single metric are difficult to separate target from clutter completely. The false alarm may be high when there exists complex backgrounds.
Yanguang Bi +3 more
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