Effective seperation of trees and buildings for automated building detection

Abstract

Effective separation of buildings from trees is a major challenge in automatic building detection from aerial imagery and Lidar data. In cases where an adopted building detection technique cannot distinguish between these two classes of objects, the presence of trees in the scene can increase the rates of both false positives and false negatives in the building detection process. This paper presents an automatic building detection technique which exhibits improved separation of buildings from trees. In addition to using traditional cues such as height, width and colour, the improved detector uses texture information from both Lidar and orthoimagery. Firstly, image entropy and colour informat..