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A Feature-Based Small Target Detection System
2014Existing small target detection systems generally use the difference image between a predicted background image and an original image. This method has two disadvantages. First, to predict the background image, the size of the structural element has to be carefully selected considering the size of small targets. Second, because of blurring, clutter such
Jong-Ho Kim +3 more
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Improved small target detection for IR point target
2009 34th International Conference on Infrared, Millimeter, and Terahertz Waves, 2009In the target detection algorithm based on the bivariate cubic facet fitting (BCFF), the target position can be selected so that the position has the maximum value or energy value of the filtered result. However, in the cluttered environment, it may generate a large number of clutters.
Jihui Ye +4 more
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Small target detection using an optimization-based filter
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015Small target detection is a critical problem in the Infrared Search And Track (IRST) system. Although it has been studied for years, there are some challenges remained, e.g. cloud edges and horizontal lines are likely to cause false alarms. This paper proposes a novel method using an optimization-based filter to detect infrared small target in heavy ...
Kai Xie +5 more
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Dim2Clear Network for Infrared Small Target Detection
IEEE Transactions on Geoscience and Remote Sensing, 2023Mingjin Zhang +5 more
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A Method of Small Moving Target Detection
Journal of Information and Computational Science, 2014This paper present a new method for detecting small moving targets from sequential images under the complex background of sky. The method can identify moving targets in low SNR, estimate and track the trajectory of the target using the maximum gray matrix and Kalman filter theory. Compared with other algorithms, this method has features of small amount
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Detection of small targets in sea clutter
2013In this chapter, we have established a well-defined framework, provided by the likelihood ratio concept and the statistical models developed in Chapters 3 and 6, within which useful detection schemes can be developed in a systematic way. The closely related problem of parameter estimation is also considered: maximum likelihood techniques derived from ...
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Small Target Detection Algorithm Based On Multi-target Detection Head And Attention Mechanism
2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI), 2023Gaofeng Zhu +4 more
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Target-to-Anomaly Conversion for Hyperspectral Anomaly Detection
IEEE Transactions on Geoscience and Remote Sensing, 2022Chein-I Chang
exaly
Small Target Detection Based on YOLOX
Proceedings of International Conference on Artificial Life and Robotics, 2023Ren, Keying, Chen, Xiaoyan, Chen, Zhihui
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Asymmetric Weighted Logistic Metric Learning for Hyperspectral Target Detection
IEEE Transactions on Cybernetics, 2022Liangpei Zhang, Bo Du, Bo Du
exaly