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- W4200508319 abstract "Aiming at the problem of high false alarm rate of infrared small target detection, a detection method of identifying infrared small target by using sample database is proposed. Firstly, according to the imaging characteristics of infrared small target, the background prediction algorithm is used to judge whether it is a suspected target pixel by pixel; Then, according to the prior sample data of the target and background, the random forest algorithm is used to train the classifier, and the classifier is used to make a second decision on the suspected target points to further filter out the false target points; Finally, according to the background sample data marked in the current scene, the false target points in the background are filtered out by using NCC similarity measure, and the final detection result is the infrared small target. Experiments show that this method can effectively reduce the false alarm rate of infrared small target detection, and can be used for infrared small target detection in strong clutter environment." @default.
- W4200508319 created "2021-12-31" @default.
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- W4200508319 date "2021-10-14" @default.
- W4200508319 modified "2023-09-27" @default.
- W4200508319 title "Infrared Dim and Small Target detection based on sample data" @default.
- W4200508319 doi "https://doi.org/10.1109/iccais52680.2021.9624551" @default.
- W4200508319 hasPublicationYear "2021" @default.
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