Road extracting method based on shape characteristics of roads of remote sensing images

A technology of remote sensing images and shape features, which can be used in image enhancement, image analysis, image data processing, etc., and can solve unrealistic problems.

Inactive Publication Date: 2015-05-27
FUZHOU UNIV
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Problems solved by technology

Road extraction can be divided into semi-automatic and fully automatic methods. Although fully automatic methods have made some progress, it is not realistic to extract roads fully automatically in the "foreseeable future"

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  • Road extracting method based on shape characteristics of roads of remote sensing images
  • Road extracting method based on shape characteristics of roads of remote sensing images
  • Road extracting method based on shape characteristics of roads of remote sensing images

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] First of all, the theoretical basis for improving road information extraction by the inventor is as follows:

[0044] Experimental Research Theory As shown in Figure 2, roads are divided into straight roads and curved roads. Following are the key factors for road extraction.

[0045] (1) Area (S):

[0046] Because the area of ​​the road area will not be too small, some small area objects can be filtered out by using the area threshold. According to the principle of moment of inertia, the moment of inertia of order 0 represents the area, and Ts is defined as the area threshold, and Ts is set according to the image resolution and the size of the object to be extracted (here Ts=25).

[0047] (2) Determination of the minimum circumscribed rectangle of Ferret Box:

[0048] Firstly, the first-order moment of inertia and the second-order moment of i...

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Abstract

The invention discloses a road extracting method based on shape characteristics of roads of remote sensing images. The road extracting method comprises the following steps: firstly, segmenting partial regions of preprocessed remote sensing images by utilizing the characteristics of consistency of partial gray levels of road surfaces and the large difference of the partial gray levels between a target region and a background; then, combining segmented results with area and the shape characteristics of a Ferret Box minimum external connection rectangle so as to obtain linear and curved road sections, performing regional seed growth on confirmed roads, and connecting large parts of road sections so as to realize the extraction of road information. Compared with the prior art, the road extracting method disclosed by the invention has the effects that not only the linear and curved road sections can be obtained, but also seed points can be automatically extracted, and road nets can be automatically obtained; the extraction of roads cannot be influenced by the rotation of images, the defect that most methods only can extract linear road sections is overcome, and the road extracting method is more intelligent.

Description

technical field [0001] The invention relates to the field of road extraction, in particular to a road extraction method based on road shape features of remote sensing images. Background technique [0002] Although China's intelligent transportation has been researched for many years, there is still a big gap with foreign countries, and it is still in its infancy. Especially traffic early warning, and traffic early warning must first obtain road information. Using remote sensing images to obtain earth surface information is an important way to collect geographic information. High-resolution images provide more accurate information. It is of great value to urban planning, surveying and mapping, military inspection, change detection, and GIS data update applications. and meaning. High-resolution remote sensing images contain countless data information, how to quickly and accurately obtain special information is becoming more and more important, so road extraction from high-re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/12G06T2207/10032G06T2207/30184
Inventor 王卫星
Owner FUZHOU UNIV
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