AAAI Publications, Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence

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Automatic Land Use and Land Cover Classification Using RapidEye Imagery in Mexico
Raul Sierra-Alcocer, Enrique-Daniel Zenteno-Jimenez, Juan M. Barrios

Last modified: 2015-04-01

Abstract


Land use and land cover classification (LUCC) maps from remote sensor data are of great interest since they allow to track issues like deforestation/reforestation, water sources reduction or urban growth. The line of work in this project is to model land cover and land use as random textures in order to take advantage of high resolution satellite imagery.

Keywords


Land Use and Land Cover Classification; High Resolution Satellite Images; Texture Modeling

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