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Ecopersia، جلد ۷، شماره ۴، صفحات ۱۸۳-۱۹۲
عنوان فارسی
چکیده فارسی مقاله
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عنوان انگلیسی Improving the Accuracy of Land Use/Cover Maps using an Optimization Technique
چکیده انگلیسی مقاله Mapping of Land use/cover is important for many activities of planning and management, especially in arid areas. Nowadays, satellite imagery and remote sensing techniques, which provide timely and high capability data, are widely used in producing this kind of mapping. The main objective of this study is to produce an actual land use map using advanced pixel-based (MLP, SVM, and SOM) approaches. The most important challenge, in this case, is to determine the optimum structure of classification methods. The Taguchi method is used to optimize the structure of MLP, SVM, and SOM methods. Results show that the Taguchi method can be effectively used to cope with this problem. It significantly reduces the number of classification tests. We also showed that there are significant differences between the results of the SVM method with those of the MLP and SOM methods (χ2 more than 100) and that SVM model is more efficient than other methods. The accurate map produced by the optimized SVM approach (Overall accuracy of 0.93) showed that this method has a better performance.
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نویسندگان مقاله | M. Hayatzadeh
Nature Engineering Department, Agriculture & Natural Resources Faculty, Ardakan University, Yazd, Iran


| A. Fathzadeh
Nature Engineering Department, Agriculture & Natural Resources Faculty, Ardakan University, Yazd, Iran


| V. Moosavi
Watershed Management Engineering Department, Natural Resources Faculty, Tarbiat Modares University, Tehran, Iran
نشانی اینترنتی http://journals.modares.ac.ir/browse.php?a_code=A-10-46991-1&slc_lang=en&sid=24
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زبان مقاله منتشر شده en
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