Feature Extraction for Forest Inventory
Feature Extraction for Forest Inventory
- New search for: Wang, Zuyuan
- New search for: Boesch, Ruedi
- New search for: Ginzler, Christian
- New search for: Wang, Zuyuan
- New search for: Boesch, Ruedi
- New search for: Ginzler, Christian
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.
Document information
Feature Extraction for Forest Inventory
2008 Congress on Image and Signal Processing ; 4 ; 732-735
2008-05-01
937818 byte
Conference paper
Electronic Resource
English
Similar titles
Forest inventory using interferometric SAR techniques
| British Library Conference Proceedings | 1997
Forest inventory using interferometric SAR techniques
| British Library Online Contents | 1997
Towards Operative Forest Inventory by Extraction of Tree Level Information from VHR Satellite Images
| British Library Conference Proceedings | 2010
Video measurements for forest inventory [4309-10]
| British Library Conference Proceedings | 2001