COMPARISON OF NINE IMAGE CLASSIFICATION METHODS ON LANDSAT 7 IMAGERY
Nine different widely used classification methods available in ArcGIS and ERDAS software packages weretested on Landsat 7 imagery with the objective to compare their performance and adequacy in classifying six major land cover elements: urban/commercial, residential, bare soil, vegetation, fores...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editura Universitatii din Oradea
2014-12-01
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| Series: | Analele Universităţii din Oradea: Seria Geografie |
| Subjects: | |
| Online Access: | http://geografie-uoradea.ro/Reviste/Anale/Art/2014-2/7.AUOG_661_Victor.pdf |
| Summary: | Nine different widely used classification methods available in ArcGIS and ERDAS
software packages weretested on Landsat 7 imagery with the objective to compare their
performance and adequacy in classifying six major land cover elements: urban/commercial,
residential, bare soil, vegetation, forest and water. A brief background for each classification
method was provided, after which the results of each algorithm were visually compared and
analyzed. Finally, the kappa coefficient was used as a quantitative metric to asses the
agreement between methods. This study showed that different results are obtained when using
different classification methods; in consequence the classification method must be carefully
selected according to the objective and the available data.. The finality of this work is to
provide the average GIS software user with the understanding on how the classification
method impacts the classification result, and a starting point in deciding what GIS software
tool would be more appropriate given a certain context and goal. |
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| ISSN: | 1221-1273 2065-3409 |