High-resolution remote sensing image road information extraction method

Abstract

The present invention discloses a high-resolution remote sensing image road information extraction method. The method comprises the following steps: image preprocessing: employing an enhanced and filtering method to realize the purpose of the difference of a road image and a background image; a road image segment method: improving the traditional area growth algorithm and adding a secondary cluster method after growth to remove the complex small plates distributed in the image as much as possible so as to allow the ground object connected with the road to be separated from each other as far as possible; image analysis and identification: and employing a mathematical morphology method and structural elements with a certain shape to measure and extract the corresponding shaped in the image to reach the purpose of the analysis and identification of the image, convert the RGB image to an HSV image in the image processing process and improve the area growth algorithm to adapt for the extraction road so as to greatly improve the quality of the road segment, have high precision of the extraction of the city road, and especially adapt for the extraction of the city main road.

Description

technical field [0001] The invention relates to the technical field of road information extraction, in particular to a method for extracting road information from high-resolution remote sensing images. Background technique [0002] Compared with low- and medium-resolution remote sensing images, the features of high-resolution images are clearer and the details are more obvious. How to quickly obtain these information to update the geographic information database has become an urgent problem to be solved in the application of high-resolution remote sensing technology. How to extract road information scientifically and effectively is a hot and difficult point at present, and needs further research. [0003] In recent years, with the successive launches of high-resolution remote sensing satellites such as IKONOS, QuickBird, and SPOT-5, the processing and application of high-resolution remote sensing satellite data has gradually become a research hotspot in the field of remote ...

AI Technical Summary

Problems solved by technology

However, due to the influence of image noise, "same object with same spectrum" and "same object with different spectrum" phenomenon, as well as complex road conditions, the effect of using these two methods alone to extract road information is not very satisfactory.

[0005] In terms of road extraction, although some existing methods have achieved certain results, it is found that various methods have their own shortcomings, which need to be improved and improved urgently.

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