Target detection method based on high resolution optical satellite remote sensing images, and system thereof

Abstract

The invention relates to a target detection method based on high resolution optical satellite remote sensing images, and a system thereof. The target detection method based on high resolution opticalsatellite remote sensing images includes the steps: obtaining a marked target positive sample and a marked background negative sample to form a training sample; for the training sample, extracting a plurality of different weak characteristic channels, and according to the plurality of different weak channels, obtaining a candidate region; obtaining the context scene of the candidate region, performing characteristic extraction on the candidate region and the context scene of the candidate region, and fusing the extracted characteristics to form the characteristics of the candidate region; training the training sample, and obtaining a classifier; classifying the characteristics of the candidate region by means of the classifier, and obtaining a target region including the target; and performing duplicate removal on the target region to obtain a detection target. The target detection method based on high resolution optical satellite remote sensing images realizes target detection on remote sensing images with enlarged formats, optimizes the targets with very short interval and the target detection effect with uncommon length breadth ratio.

Description

technical field [0001] The invention relates to a target detection method, more specifically to a target detection method and system based on high-resolution optical satellite remote sensing images. Background technique [0002] Target detection is to solve whether there is a specific target in the image and where the target is. It is the basis of image retrieval, image interpretation, target recognition and tracking and other fields. It has been a research hotspot in academia and industry in recent years. Many specific target detection systems based on natural images or videos have been put into industrial use, such as pedestrian flow statistics based on pedestrian detection, face detection beauty cameras, and automatic driving technology for obstacle detection such as vehicles and pedestrians. [0003] There are currently two commonly used methods for target detection, one is target detection based on natural images, and the other is target detection based on remote sensin...

AI Technical Summary

Problems solved by technology

However, there are usually many targets in high-resolution remote sensing images, which may be scattered in various parts of the image, and the targets to be detected are relatively small and close to the background. After scaling the image, the small-scale targets lose many details, and due to the The background is relatively close, which also increases the difficulty of detection. Therefore, the existing target detection methods on natural images cannot perform target detection on extended large-format remote sensing images.

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