Paper
15 May 2023 Research on the application of remote sensing and GIS technology in railroad engineering geology survey
Zejiang Zheng
Author Affiliations +
Proceedings Volume 12699, Third International Conference on Sensors and Information Technology (ICSI 2023); 126990D (2023) https://doi.org/10.1117/12.2679143
Event: International Conference on Sensors and Information Technology (ICSI 2023), 2023, Xiamen, China
Abstract
Railroad engineering geological survey is a general and important work in the railroad design process. The effective combination of remote sensing and GIS technology has broad application prospects in railroad survey, planning and construction. In this paper, we propose an image classification algorithm in railroad engineering geological survey, and determine the best segmentation scale through several experiments. Based on the spectral and geometric information features of different lithologies, a classification rule set with the KNN and SVM methods are used for lithology classification, and the accuracy evaluation shows that the classification results are more reliable. This work will greatly improve the segmentation efficiency and make the multi-scale segmentation technology of remote sensing images truly automated.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zejiang Zheng "Research on the application of remote sensing and GIS technology in railroad engineering geology survey", Proc. SPIE 12699, Third International Conference on Sensors and Information Technology (ICSI 2023), 126990D (15 May 2023); https://doi.org/10.1117/12.2679143
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Remote sensing

Engineering

Image processing algorithms and systems

Geology

Geographic information systems

Image classification

Back to Top