Weak and small target rapid detection method based on high-resolution optical remote sensing image

Abstract

The invention discloses a weak and small target rapid detection method based on a high-resolution optical remote sensing image, and mainly solves the problems of high missing detection and false detection and low detection speed in the prior art. According to the implementation scheme, the method comprises steps of converting a to-be-detected multispectral four-channel image into an 8-bit RGB color image and then converting into a grey-scale map; performing extended wavelet transform on the grey-scale map; carrying out corner point detection on the image after extended wavelet transform, filtering dense corner points in space, and reserving scattered corner points; carrying out morphological closing operation of expanding and then corroding on the reserved corner points to obtain an area after the morphological closing operation; extracting shape parameters from the area after morphological closing operation, calculating contrast and correlation, combining the three parameters to screen angular points, and a local area where the finally reserved angular points are located being a target area. According to the method, missing detection and false detection are greatly reduced, the detection accuracy and the detection speed are improved, and the method can be used for detecting satellite remote sensing images with backgrounds of mountainous regions, forests and deserts.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for detecting weak and small targets, which can be used for detecting satellite remote sensing images whose backgrounds are mountains, forests and deserts. [0002] technical background [0003] Satellite remote sensing images are an important source of spatial information, with strong timeliness and high practicability. They are widely used in resource exploration, environmental disaster detection, urban planning, crop diseases and insect pests, military reconnaissance and many other fields. Development has a major impact. In recent years, the situation in my country's borders and sea areas has been complicated, and the demand for wide-format high-performance aerospace reconnaissance cameras has continued to increase, and the requirements for military optical surveys have increased to the order of 1m. Target reconnaissance based on optical remote sensing imag...

AI Technical Summary

Problems solved by technology

At the same time, the remote sensing image imaging will be affected by the shooting angle of the optical sensor, light intensity, weather conditions, etc., resulting in the target being blocked, incomplete shape, low contrast, etc., making it very difficult to quickly detect and locate weak and small targets in the remote sensing image, and there are a lot of missing detections With false detections, the overall detection effect is not good

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