Automatic training site selection for agricultural crop classification A case study on Karacabey Plain Turkey

Date

2011-01-01

Author

Özdarıcı Ok, Aslı
Akyürek, Sevda Zuhal

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URI

https://hdl.handle.net/11511/77738

Journal

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

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AUTOMATIC TRAINING SITE SELECTION FOR AGRICULTURAL CROP CLASSIFICATION: A CASE STUDY ON KARACABEY PLAIN, TURKEY Ok, Ahmet; Akyürek, Sevda Zuhal (2011-06-17) This study implements a traditional supervised classification method to an optical image composed of agricultural crops by means of a unique way, selecting the training samples automatically. Panchromatic (1m) and multispectral (4m) Kompsat-2 images (July 2008) of Karacabey Plain (similar to 100km(2)), located in Marmara region, are used to evaluate the proposed approach. Due to the characteristic of rich, loamy soils combined with reasonable weather conditions, the Karacabey Plain is one of the most valuab...
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Citation Formats

A. Özdarıcı Ok and S. Z. Akyürek, “Automatic training site selection for agricultural crop classification A case study on Karacabey Plain Turkey,” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, pp. 221–226, 2011, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/77738.