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 |
| _version_ | 1811331869443096576 |
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| author | José Luis Palacio-Prieto Laura Luna González |
| author_facet | José Luis Palacio-Prieto Laura Luna González |
| author_sort | José Luis Palacio-Prieto |
| collection | DOAJ |
| description | 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. Additionally, color composites were prepared and visually interpreted. The three products were compared in a GIS environment using a regularly distributed network of points refering the field truth. The results show that the lowest error correspond to the supervised classification (82.32% exactitude), followed by the visual interpretation (78.72%) and the non–supervised procedure (73.18%). These figures were obtained after grouping the classes according to their similarities. |
| first_indexed | 2024-04-13T16:27:17Z |
| format | Article |
| id | doaj.art-fbc0a903094043f4ac8c11c4812aab79 |
| institution | Directory Open Access Journal |
| issn | 0188-4611 2448-7279 |
| language | English |
| last_indexed | 2024-04-13T16:27:17Z |
| publishDate | 1994-06-01 |
| publisher | Universidad Nacional Autónoma de México |
| record_format | Article |
| series | Investigaciones Geográficas |
| spelling | doaj.art-fbc0a903094043f4ac8c11c4812aab792022-12-22T02:39:43ZengUniversidad Nacional Autónoma de MéxicoInvestigaciones Geográficas0188-46112448-72791994-06-0112910.14350/rig.5902850982Clasificación espectral automática vs. clasificación visual: Un ejemplo al sur de la ciudad de MéxicoJosé Luis Palacio-PrietoLaura Luna GonzálezUsing 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. Additionally, color composites were prepared and visually interpreted. The three products were compared in a GIS environment using a regularly distributed network of points refering the field truth. The results show that the lowest error correspond to the supervised classification (82.32% exactitude), followed by the visual interpretation (78.72%) and the non–supervised procedure (73.18%). These figures were obtained after grouping the classes according to their similarities.http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/59028 |
| spellingShingle | José Luis Palacio-Prieto Laura Luna González Clasificación espectral automática vs. clasificación visual: Un ejemplo al sur de la ciudad de México Investigaciones Geográficas |
| title | Clasificación espectral automática vs. clasificación visual: Un ejemplo al sur de la ciudad de México |
| title_full | Clasificación espectral automática vs. clasificación visual: Un ejemplo al sur de la ciudad de México |
| title_fullStr | Clasificación espectral automática vs. clasificación visual: Un ejemplo al sur de la ciudad de México |
| title_full_unstemmed | Clasificación espectral automática vs. clasificación visual: Un ejemplo al sur de la ciudad de México |
| title_short | Clasificación espectral automática vs. clasificación visual: Un ejemplo al sur de la ciudad de México |
| title_sort | clasificacion espectral automatica vs clasificacion visual un ejemplo al sur de la ciudad de mexico |
| url | http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/59028 |
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