LAND USE IMAGE CLASSIFICATION THROUGH OPTIMUM-PATH FOREST CLUSTERING

Author(s)

Pisani, R. ; Riedel, P. ; Ferreira, M. ; Marques, M. ; Mizobe, R. ; Papa, J. ; IEEE

• Document type: Journal article
• Source: 2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS); v. N/A, p. 4-pg., 2011-01-01.

Abstract

Land use classification has been paramount in the last years, since we can identify illegal land use and also to monitor deforesting areas. Although one can find several research works in the literature that address this problem, we propose here the land use recognition by means of Optimum-Path Forest Clustering (OPF), which has never been applied to this context up to date. Experiments among Optimum-Path Forest, Mean Shift and K-Means demonstrated the robustness of OPF for automatic land use classification of images obtained by CBERS-2B and Ikonos-2 satellites. (AU)

• FAPESP's process: 09/16206-1 - New trends on optimum-path forest-based pattern recognition
• Grantee: João Paulo Papa
• Support Opportunities: Research Grants - Young Investigators Grants