Optical remote sensing image target detection method based on geometric structure double-path convolutional network

Abstract

The invention discloses an optical remote sensing image target detection method based on a geometric structure double-path convolutional network. The optical remote sensing image target detection method comprises the following steps: constructing a training data set T in an image block-sketch block-label mode by using a labeled optical remote sensing image data set; constructing a test data set Uin an image block-sketch block mode by using an optical remote sensing image to be detected; constructing a target detection model based on the geometric structure double-path convolutional network,wherein the target detection model based on the geometric structure double-path convolutional network comprises a regional convolutional module and a DoG ridgelet basis function convolutional module;using the training data set T to train a target detection model based on the geometric structure double-path convolutional network to obtain a trained target detection model based on the geometric structure two-way convolutional network; and inputting the test data set U into the trained target detection model based on the geometric structure two-way convolutional network to obtain a detection result of the optical remote sensing image to be detected. According to the invention, the positioning precision of the target detection model is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to an optical remote sensing image target detection method based on a geometric structure two-way convolution network. Background technique [0002] With the development of remote sensing technology, a large number of high-resolution optical remote sensing images can provide rich spatial information and context information, which also promotes the rapid development of object detection in optical remote sensing images. For optical remote sensing images, the target detection objects that researchers focus on include aircraft, vehicles, ships, roads, and bridges. Optical remote sensing image target detection plays an important role in national defense construction, urban monitoring, cargo transportation and port management, saving a lot of manpower and material resources. [0003] With the popularity of deep learning and the background of big data, the powerful r...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide an optical remote sensing image target detection method based on a two-way convolutional network with a geometric structure to solve the problem that the single-stage target detection method is not sensitive to the target boundary, which leads to the problem of positioning The problem of low precision

Images