Study on highway geological disasters knowledge base for remote sensing images interpretation

Knowledge can help to find a problem-solution quickly, and knowledge base is a practical tool for managing knowledge systematically. Due to highway geological disasters, cognition from remote sensing images is a complex technology; it's relevant for disaster mitigation to establish a knowledge base. But most of the frameworks of knowledge base are incomplete due to lack of experts' knowledge and insufficient quantitative knowledge from images. The purpose of this paper is to construct a highway geological disasters knowledge base (HGDKB) by making full use of multi-features knowledge of images, the visual recognition knowledge of experts, and the object-oriented approach to enabling knowledge being shared for highway geological disasters cognition. Firstly, the knowledge base framework is built, and the object-oriented method is used to represent knowledge by extensible markup language (XML) programming. Then, with the completion of HGDKB, the knowledge base is used to discern and recognize the debris movements with state highway corridor from Wenchuan to Dujiangyan of Sichuan of China as the pilot study.