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- W2377366456 abstract "According to the problem how to improve the object detection efficiency in the domain of intelligence discrimination for remote sensing image,this paper adopts visual salient model to object detection based on characteristic statistical learning,firstly extracts the latent area of aircraft object by calculating visual salient image;then designs classifier to achieve the object detection mission.Experiment results show that this method greatly reduces the searching space,decreases the missdetection probability,and improves detection efficiency 50%in the condition of invariable detection probability compared with the method based on traditional ergodic searching." @default.
- W2377366456 created "2016-06-24" @default.
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- W2377366456 date "2013-01-01" @default.
- W2377366456 modified "2023-09-23" @default.
- W2377366456 title "Remote Sensing Object Detection Based on Visual Salient Searching and AdaBoost Algorithm" @default.
- W2377366456 hasPublicationYear "2013" @default.
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