Texture-based Segmentation of High-Resolution Remotely Sensed Imagery for Identification of Fuzzy Objects
نویسندگان
چکیده
In this study, we discuss a supervised texture-based image segmentation algorithm. We apply this algorithm to airborne high-resolution elevation (LiDAR) and multi-spectral imagery (CASI) of a coastal area on the northwest coast of England. Texture is modelled with the joint distribution of the Local Binary Pattern (LBP) operator and local variance. Spatial objects are derived from the imagery based on a supervised hierarchical splitting segmentation algorithm. Additionally, information on thematic and spatial uncertainty of the objects is derived. This information is needed for identification of objects with indeterminate boundaries or fuzzy objects.
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تاریخ انتشار 2003