Feature Extraction for Forest Inventory

In this paper we incorporate different kinds of features, namely GVI, Gabor texture from high resolution aerial images and curvature feature from LIDAR for forest delineation in Swiss national forest inventory. The GVI is helpful for non vegetation areas removing while the curvature feature is useful for buildings removing in urban area. The texture feature constructed by Gabor wavelet successfully distinguishes forest from other landscape types. Experimental results show that the proposed method provides an automatic forest boundary delineation method in a semantic way.