Clasificación espectral automática vs. clasificación visual: Un ejemplo al sur de la ciudad de México
Using a Maximum Likelihood algorithm a Landsat TM image was classified by both supervised and non–supervised approaches. In the first case, 12 classes were obtained based on 30 samples; the non–supervised procedure yielded 30 classes. Once grouped, both classifications considered 6 classes. Addition...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Universidad Nacional Autónoma de México
1994-06-01
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Series: | Investigaciones Geográficas |
Online Access: | http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/59028 |