A Multi-Scale Residential Areas Matching Method Considering Spatial Neighborhood Features

نویسندگان

چکیده

Residential areas is one of the basic geographical elements on map and an important content representation. Multi-scale residential matching refers to process identifying associating entities with same name in different data sources, which can be widely used compilation, fusion, change detection update. A method considering spatial neighborhood features proposed solve complex problem multi-scale areas. The uses Delaunay triangulation divide scales into closed domains through clusters, obtain many-to-many candidate feature sets. At time, geometric topological are fully considered, Relief-F algorithm determine weight values similarity features. Then polygon calculated, after final results obtained. experimental show that accuracy rate, recall rate F value all above 90%, has a high accuracy. It identify variety relationships overcome influence certain positional deviations results. not only take account characteristics areas, but also accurately good effect.

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ژورنال

عنوان ژورنال: ISPRS international journal of geo-information

سال: 2022

ISSN: ['2220-9964']

DOI: https://doi.org/10.3390/ijgi11060331