Abstract
Airborne LiDAR has found application in an increasing number of mapping and Geo-data acquisition tasks. Apart from terrain information generation, applications such as automatic detection and modeling of objects like buildings or vegetation for the generation of 3-D city models have been explored. Besides the height itself, height texture defined by local variations of the height is a significant parameter for object recognition. The paper explores the potential of the analysis of height texture as a cue for the automatic detection of objects in LiDAR datasets. A number of texture measures were computed. Based on their definition and computation these measures were used as bands in a classification algorithm, and objects like buildings, single trees, and roads could be recognized.
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Tiwari, P.S., Pande, H. Use of laser range and height texture cues for building identification. J Indian Soc Remote Sens 36, 227–234 (2008). https://doi.org/10.1007/s12524-008-0023-1
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DOI: https://doi.org/10.1007/s12524-008-0023-1