Cost-Effective Determination of Biomass from Aerial Images
ISD '99 Selected Papers from the International Workshop on Integrated Spatial Databases, Digital Inages and GIS
Terrain classification based on 3D co-occurrence features
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Application of 3d co-occurrence features to terrain classification
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
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Texture has long been regarded as spatial distributions of gray-level variation, and texture analysis has generally been confined to the 2-D image domain. Introducing the concept of ``3-D world texture'', this paper considers texture as a function of 3-D structures and proposes a set of ``3-D textural features''. The proposed 3-D features appear to have a great potential in terrain classification. Experiments have been carried out to compare the 3-D features with a popular traditional 2-D feature set. The results show that the 3-D features significantly outperform the 2-D features in terms of classification accuracy.