Study of the method of spatial identification of polygonal features in the integration of geospatial datasets

Remote Sensing & GIS for Environmental Monitoring & Exploration

Authors

First and Last Name Academic degree E-mail Affiliation
Yevhenii Havryliuk No zenjahav123321 [at] gmail.com Kyiv National University of Constraction and Architecture
Kyiv, Ukraine
Anatoliy Lyashchenko Sc.D. l_an [at] ukr.net Kyiv National University of Constraction and Architecture
Kyiv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First publshed on this website: 23.10.2020 - 16:19
Abstract 

Integration of geospatial datasets is complex and time-consuming process. Integration is especially difficult if the geospatial datasets do not share common feature identification attributes. In this study, we explored the software implementation of the method of spatial identification polygonal features of geospatial datasets by detecting matching pairs of features from two different datasets using measures of their spatial overlap and the similarity of their morphometric characteristics (perimeter, area, width-to-length ratio, blockiness, number of vertices). The polygonal feature identification program is implemented in PL/pgSQL for a spatial database in PostgreSQL/PostGIS. The results of the experiment on the example of the 13832 polygonal building models for the town of Bila Tserkva using an OSM dataset and a digital topographic plan of 1:2000 scale showed the ability to perform spatial identification of about 85% of buildings with little or no user intervention.

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Comments

Secretary GeoTerrace
researcher, secretary

Dear authors,
Thank you for your paper submission!

We are looking forward to reviewing your updated paper!
Sincerely,
GeoTerrace Secretary

Tue, 11/03/2020 - 20:57
Secretary GeoTerrace
researcher, secretary

Dear authors,
Thank you for your paper submission!

Sincerely,
GeoTerrace Secretary

Wed, 11/04/2020 - 12:08