Extraction of roads from satellite images using MATLAB

Abstract

Satellite imagery is increasingly being used in geographic information and urban planning, with road detection being one of its important tasks. However, traditional road detection methods have some limitations, such as poor handling of sharp turns and intersections. Therefore, the development of automatic road tracking methods based on morphological principles is of significant importance. This study addresses the urgent need for efficient and accurate road detection in satellite images. By combining morphological principles and convolutional operations, the proposed method can accurately identify road networks in complex environments. The advancement of this automatic road tracking technology holds great potential for improving navigation systems and urban planning, greatly enhancing the efficiency and accuracy of road information extraction. Additionally, this technology has far-reaching implications for urban planning. By more accurately capturing road layouts, urban planners can develop more reasonable road construction plans, optimize traffic flow, and improve the quality of life for city residents.