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A per-field classification method based on mixture distribution models and an application to Landsat Thematic Mapper data

, : A per-field classification method based on mixture distribution models and an application to Landsat Thematic Mapper data. International Journal of Remote Sensing 26(6): 1229-1244

This study has three aims: firstly, to define an efficient and accurate supervised classification method to classify land use/land cover on per-field basis using mixture distribution models. The second aim was to demonstrate the working principle of the per-field classification method based on mixture distribution models by classifying a Landsat Thematic Mapper selected test image of an agricultural area in the Seyhan Plain in Adana, Turkey.


DOI: 10.1080/01431160512331326800

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