An Application for Tree Detection Using Satellite Imagery and Vegetation Data

Virtual reconstruction of large landscapes from satellite imagery can be a time-consuming task due to the number of objects that must be extracted. Poor image resolution and noise hinder automatic detection processes and thus must be corrected by the user. This paper describes an application that allows the user to guide the automatic detection of trees from satellite imagery and spatial vegetation data. The requirements of the system are specified and an architecture that satisfies these constraints is presented. The resulting application provides an intuitive computeraided method for the selection and classification of trees.