Landslide detection from satellite images using fuzzy clustering methods

Abstract

Vietnam is primarily a midland and mountainous country. The topographical structure is quite diverse and complex, with a clear altitude hierarchy. In recent years, landslides are taking place very seriously, and tend to increase in both scope and scale, threatening people's lives and properties. Therefore, timely detection of landslide areas is extremely important to minimize damage. There are numerous methods for detecting landslide areas, one of which is the use of satellite images. In this paper, we introduce some fuzzy clustering methods and applications to solve the problem of landslide detection from satellite images. The results of the experiments show that the methods presented can be used to solve the problem of detecting landslide areas in satellite images. Typically, the Picture fuzzy clustering method has high clustering efficiency, providing relatively clear landslide detection images. It is very useful for disaster prevention and landslide detection. Thereby, decisions and solutions are made quickly to avoid potential damage to people and property.