Method for automatically extracting road centerline of remote-sensing image

A remote sensing image and automatic extraction technology, applied in the field of remote sensing surveying and mapping, can solve problems such as occlusion, and achieve the effect of simple operation, easy implementation, and high accuracy

Active Publication Date: 2013-08-21
WUHAN UNIV
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Problems solved by technology

However, based on existing research methods, extracting a complete and correct road network is still in the research and exploration stage, mainly because of the variety of road features (different road types, such as shap

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  • Method for automatically extracting road centerline of remote-sensing image
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  • Method for automatically extracting road centerline of remote-sensing image

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Embodiment Construction

[0032] During specific implementation, the present invention can use computer software technology to realize the automatic operation process. The method provided by the present invention will be further described below in conjunction with the drawings and embodiments.

[0033] The flow process of the embodiment of the present invention includes the following steps:

[0034] Step 1, image input and segmentation;

[0035] Read in the original remote sensing image data, and use the meanshift algorithm to segment the image. The purpose of region-based image segmentation for road extraction is to segment the road region and surrounding objects according to the spectral characteristics for identifying and detecting road features.

[0036] The meanshift algorithm is an existing technology, and the two-dimensional coordinates of the image and the spectral channels form a multi-dimensional feature space. For color images, the three-channel value of the pixel corresponds to the 3-dim...

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Abstract

The invention relates to a method for automatically extracting a road centerline of a remote-sensing image. The method includes the steps that the image is divided, road areas which are similar in spectral signature and surface features with a obvious contrast ratio with the surrounding are divided into different areas; through utilization of shape index analysis, the road areas in the divided blocks are identified; road center line basic elements are detected through an orthotropic ranking method; finally the discontinuous road center line basic elements are organized into groups to form a road network in an iterative collinear chain mode. The method has the advantages of being easy to achieve, simple in operation and high in accuracy rate. The method can be used for extracting the road vector centerline of the remote-sensing image conveniently and fast.

Description

technical field [0001] The invention relates to the field of remote sensing surveying and mapping, in particular to a method for automatically extracting road centerlines from remote sensing images. Background technique [0002] As an important hub in geographic information, roads are closely related to the construction of various industries such as transportation, water conservancy, urban planning, electric power, emergency response, and energy. Remote sensing images convert three-dimensional real scenes into two-dimensional scenes, store them in the form of two-dimensional arrays in computer memory, and study the real world by not directly contacting real objects. Research on road recognition and extraction based on remote sensing images has been an important research topic in the past two decades. Many classic and effective extraction algorithms have been used to extract road features, such as hough transform, active contour model, dynamic programming, and template matchi...

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Application Information

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IPC IPC(8): G06K9/46G06K9/00
Inventor 胡翔云李怡静张剑清
Owner WUHAN UNIV
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