GeoDMA - A Novel System for Spatial Data Mining

Authors:
Thales Sehn Korting;Leila Maria Garcia Fonseca;Maria Isabel Sobral Escada;Felipe Castro da Silva;Marcelino Pereira dos Santos Silva
Affiliations:
-;-;-;-;-
Venue:
ICDMW '08 Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Year:
2008

Citing 0
Cited 1

Digital Image Processing in Remote Sensing

SIBGRAPI-TUTORIALS '09 Proceedings of the 2009 Tutorials of the XXII Brazilian Symposium on Computer Graphics and Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Although a huge amount of remote sensing data has been provided by Earth observation satellites, few data manipulation techniques and information extraction in large data sets have been developed. In this context, the present paper aims to show a new system for spatial data mining, and two test cases applied to land use change in the Brazilian Amazon region. We present the operational environment named GeoDMA, developed to implement such approach.