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

Font Size: 
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


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.


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

Full Text: PDF