Water-free bridge target identification method in remote sensing image

Abstract

The invention provides a water-free bridge target identification method in a remote sensing image, mainly solving the identification problem of a water-free bridge. The identification steps are as follows: (1) carrying out edge extracting for an original image by using Canny operator, and calculating the marginal density of the whole image and the marginal density of each pixel according to the given definition; (2) carrying out two-valued division for the original image by using the marginal density; (3) masking the original image with binary image; (4) carrying out edge extracting for the masked image by using the Canny operator, and converting and extracting straight line with Hough; (5) calculating the complexity of line segment according to the given definition, and finally determining the suspected bridge area; (6) respectively calculating the five textural characteristic quantities of suspected bridge area of the original image and the image after smoothened such as entropy, energy, correlation, local smoothness and moment of inertia so as to form a set of characteristic vectors; and the water-free bridge target is identified by using BP network to carry out classification criterion. The invention can be used for the water-free bridge target identification of the remote sensing image.

Description

Target Recognition Method of Waterless Bridge in Remote Sensing Image technical field The invention belongs to the technical field of image processing and relates to image target recognition, in particular to a method for recognizing an anhydrous bridge target in a remote sensing image, which is applied to the fields of target recognition and artificial intelligence. Background technique With the development of remote sensing technology, there are more and more ways to obtain high-quality remote sensing images. The automatic detection and recognition of typical targets in remote sensing images has attracted widespread attention, and has important application value in both military and civilian fields. As an important strategic goal, bridges have always been the focus of research. Many experts and scholars have proposed various effective detection and recognition methods for specific image backgrounds. In Infrared Technology, 2007, 29(10): 603-606, Ma Long et al. proposed...

AI Technical Summary

Problems solved by technology

At home and abroad, no suitable method has been found to detect and identify the target of the bridge without water. Therefore, an effective identification method is urgently needed to solve this problem.

Images