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A Novel Object Detection Algorithm Combined YOLOv11 with Dual-Encoder Feature Aggregation. [PDF]
Chen H, Yuan P, Liu W, Li F, Wang A.
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MDCFVit-YOLO: A model for nighttime infrared small target vehicle and pedestrian detection. [PDF]
Zhang H, Zhang Q, Gong Y, Yao F, Xiao P.
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Advances in Optical Sensing Technologies for On-Site Detection of Harmful Residues in Food: Principles and Recent Applications. [PDF]
Liu Q +11 more
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Accurate recognition of UAVs on multi-scenario perception with YOLOv9-CAG. [PDF]
Zhu J, Rong J, Kou W, Zhou Q, Suo P.
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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).
Qingyu Hou +5 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 Using PPCA
International Journal of Infrared and Millimeter Waves, 2008Probabilistic PCA (PPCA) is an extension of PCA which reformulated PCA in a probabilistic framework. In this paper we propose a infrared small target detection algorithm using PPCA analogous to the face detection scheme using PCA, or known as “eigenface”. By computing the parameters of PPCA, we map the input vector from the image onto a subspace. After
Yuan Cao, Rui Ming Liu, Jie Yang
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Facet-based Detection for Small Infrared Targets
2006 8th international Conference on Signal Processing, 2006A fusion detection method for small weak infrared target based on bivariate cubic facet fitting (BCFF) is proposed. Experimental results on real infrared image sequences in background of sea and sky demonstrate that our present method has high probability of detection (P d) and low false alarms (Pf)
Zhicheng Wang +3 more
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