Using Three-Dimensional Features to Improve Terrain Classification
نویسندگان
چکیده
Texture has long been regarded as spatial distributions of gray-level variation, and texture analysis has generally been connned 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 classiication. 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 signiicantly outperform the 2-D features in terms of classiication accuracy.
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