Land-cover classification with remotely sensed data in moist tropical regions in a challenge due to the complex biophysical conditions. This paper explores techniques to improve land-cover classification accuracy through a comparative analysis of different combinations of spectral signatures and textures…
Fecha:
2014-08-23
Recurso:
Repositório Acesso Livre à Informação Científica da Embrapa (ALICE)
CIC - Centro de Información y Conocimiento Johannes Gutenberg ®