Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 201-207, 2014
https://doi.org/10.5194/isprsarchives-XL-4-201-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Apr 2014
Object-oriented mapping application of architecture based on multi-scale image segmentation and image extraction
X. Qi and X. Chen ShenZhen Municipal Information Center of Land Resource, Urban Planning and Real Estate, 8007 Hongli Road Shenzhen, P.R.China
Keywords: Mapping, Architecture, Multi-scale segmentation, Object-oriented, Extraction Abstract. Residential area detection is extremely important for supervision of rush-built and illegal construction behavior to protect arable land and basic farmland. Traditional manual recognition of illegal construction is simple but time-consuming. The specific research work in the thesis includes: the proposition and designing of a multi-scale segmentation method based on watershed segmentation combined with region merging algorithm, comparative experiments of the new algorithm and traditional algorithm. Then, architecture extraction experiment based on the multi-scale segmentation method is carried out and analysis of the precision of comparative experiment results of pixel-based and object-oriented extraction methods is made, all these steps facilitate the automatic mapping of the architecture.
Conference paper (PDF, 1287 KB)


Citation: Qi, X. and Chen, X.: Object-oriented mapping application of architecture based on multi-scale image segmentation and image extraction, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 201-207, https://doi.org/10.5194/isprsarchives-XL-4-201-2014, 2014.

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