Accuracy improvement program for VMap1 to Multinational Geospatial Co-production Program (MGCP) using artificial neural networks

Luis Filipe Nunes
Portuguese Army Geographic Institute
Avª. Dr. Alfredo Bensaúde 
Tel.: + 351 218505313
lnunes@igeoe.pt

Abstract
Deeply committed and involved in international geospatial production military groups, like the Multinational Geospatial Co-production Program (MGCP), the Army Geographic Institute is assessing the spatial accuracy of Vector Smart Level 1 (VMap 1), so that product can serve as the base for the production of the Portuguese national territory, according to the standards approved by all MGCP nations. In order to evaluate the positional, attribute and temporal accuracy of the data, a process was developed to check the suitability in relation to a densification from the base information required by 1: 100k scale MGCP project cells. Simultaneous tests were made in order to determine the uncertainty of positional and attribute elements in the main features of VMap 1, to  evaluate the applicability of the data in both products. An expert system using Artificial Neural Networks to improve the accuracy of data from VMap1 database and allowing its integration with MGCP database, in a common environment, is proposed and analyzed.

Keywords: MGCP, VMAP1, positional accuracy, attribute accuracy, artificial neural networks

In: Caetano, M. and Painho, M. (eds). Proceedings of the 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 5 – 7 July 2006, Lisboa, Instituto Geográfico Português

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