10 July 2009 An improved algorithm based on multi-weighted and mathematical morphology for rural road extraction
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Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 74902Z (2009) https://doi.org/10.1117/12.836823
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
Accompany the development of technology, more and more professional information is used. The appearance of Google Earth (GE) made it possible for people to research on GIS technology. In this article, we introduced a method of how to draw maps using the roads extraction from images in GE. Following steps are illustrated: first, identify edges of roads using improved multiple-weighted algorithm; second, the initial image of roads is achieved using double-thresholds algorithm; third, compare the edges information of initial images with the image after processed by step one, and the last step , remove noises in the images using mathematical morphology. At last, experiments are processed to improves that road information can be achieved precisely using the algorithm introduced in the article which could be used in the projects such as land survey, map plotting etc.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gang Xu, Gang Xu, Dawei Zhang, Dawei Zhang, } "An improved algorithm based on multi-weighted and mathematical morphology for rural road extraction", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74902Z (10 July 2009); doi: 10.1117/12.836823; https://doi.org/10.1117/12.836823
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