Comparison of Pixel-based Classification Methods with the Object-oriented ones in Land-Use Mapping Using Satellite Data
Author(s):
Abstract:
Optimal natural resources management depends on reliable as well as up-to-date data. For this objective, land use map is among the important sources of information on the natural resources management. The aim of present study is to compare two methods of pixel-Base and object-oriented classification in land use mapping with using ETM image in Malekshahi town, Ilam province. After supplying related image and geometric and radiometric corrections implement on image, the authors used tow method classification to land use mapping. To assess the accuracy of classification method they used index of overall accuracy, kappa coefficient, producer accuracy and user accuracy. The results showed that the object-oriented classification method has more resolution in comparison to the pixel-based classification method. The results of determine accuracy showed that method of object-oriented in tow index of overall accuracy and kappa coefficient with (respectively) 96 percent and 93 percent was more accuracy related to pixel-based classification method. Based on the results the forest and grassland covers about 98 percent of this town. The result of this study suggested that used from object-oriented classification method to production of land use map.
Keywords:
Language:
Persian
Published:
Iranian Journal of Remote Sencing & GIS, Volume:5 Issue: 3, 2013
Page:
99
https://www.magiran.com/p1581672
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