Arial images and LIDAR fusion applied in forest boundary detection

Authors:
Zuyuan Wang;Ruedi Boesch;Christian Ginzler
Affiliations:
Dept. of Land Resource Assessment, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland;Dept. of Land Resource Assessment, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland;Dept. of Land Resource Assessment, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
Venue:
SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
Year:
2007

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Abstract

Forest boundary delineation is one of the key issues of forest management for Swiss National Forest Inventory (NFI). The proposed approach in this paper focuses on the detection of forest boundaries with special emphasis on spatially contiguous and reproducible results by using both aerial images and LIDAR data. The used Green Vegetation Index (GVI) is helpful to find green vegetation areas while the curvature feature curvature features extracted from the canopy height model (CHM) is helpful for building removing, The combination of curvature features, GVI, JSEG segmentation result and the Gabor wavelet texture features leads to forest area detection and obtains proper forest boundaries. Preliminary results are encouraging, regarding an automatic process and delivers robust forest boundary detection.