Target space knowledge and two-stage prediction learning-based target detection method

Abstract

The invention discloses a target space knowledge and two-stage prediction learning-based target detection method. By utilizing various data conversion methods, a sample number is increased and samplediversity is improved; two deep neural networks including SSD and newly designed RefineNet are trained; for a prediction target with a relatively high probability in a primary prediction result of theSSD, the accuracy of judgment is further improved through the RefineNet; and by establishing peculiar spatial structure constraint rules of the target, the wrong prediction is reduced, thereby obtaining a final detection result. Compared with a few existing methods, the method provided by the invention has the advantages that visual and spatial characteristics of a remote sensing target are considered at the same time; and end-to-end target candidate selection, feature extraction and classified locating are realized by utilizing the deep networks with excellent feature extraction capabilities, so that the detection rate of the remote sensing target is remarkably increased and the false alarm rate is reduced.

Description

technical field [0001] The invention belongs to the technical field of optical remote sensing image processing, relates to applications in the field of image target detection, and in particular to a target detection method based on target space knowledge and two-stage predictive learning. Background technique [0002] Object detection is a fundamental problem in the field of aerial and satellite imagery analysis and plays a vital role in numerous applications such as environmental monitoring, geological hazard monitoring, land use and cover mapping, geographic information system updates, precision agriculture, and urban planning. [0003] Looking back at the development of object detection in optical remote sensing images, there are four main types of methods: object detection based on template matching, object detection based on knowledge, object detection based on object image analysis, and object detection based on machine learning. At present, with the development of aer...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a target detection method based on target space knowledge and two-stage predictive learning, which is used for feature extraction and target detection of high-reso

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