Comparison of pixel-based and object-oriented classification methods for land use mapping Using satellite image (Case Study: Ilam City)

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arkhi saleh; kalavi shirin

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Paper Information

Journal: GEOGRAPHY AND TERRITORIAL SPATIAL ARRANGEMENT Year:2019 | Volume:9 | Issue:32 Page(s): 1-16

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Title

Comparison of pixel-based and object-oriented classification methods for land use mapping Using satellite image (Case Study: Ilam City)

Author(s)

arkhi saleh | kalavi shirin | Issue Writer Certificate

Keywords

Land UseQ1

Pixel-based ClassificationQ1

Object-oriented ClassificationQ1

Images of ETM++Q2

Ilam CityQ1

Idrisi SelviQ1

Abstract

Important factors in planning and urban management, especially in order to achieve sustainable development and optimal use of land in urban areas is the availability of timely and accurate information about the status of Land Use in urban areas. In this dirction, the aim of present study is to compare two methods of pixel-based and Object-oriented Classification in Land Use mapping with using ETM+ image in Ilam City, Ilam province using Idrisi Selva software. After the supply of related image and implementing geometric and radiometric corrections on image, we applied two classification methods to Land Use mapping. To assess the accuracy of classification methods, we used of indices of overall accuracy, kappa coefficient, producer accuracy and user accuracy. The results show that the Object-oriented Classification method has more resolution than the Pixel-based Classification method. The results of accuracy show that method of object-oriented in two indices of overall accuracy and kappa coefficient with (respectively) 94 percent and 91 percent was more accurate then Pixel-based Classification method with overall and Kappa coefficient 88 percent and 86 percent. The result of this study suggests that from Object-oriented Classification method use to production of Land Use map.

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APA: Copy

arkhi, saleh, & kalavi, shirin. (2019). Comparison of pixel-based and object-oriented classification methods for land use mapping Using satellite image (Case Study: Ilam City). GEOGRAPHY AND TERRITORIAL SPATIAL ARRANGEMENT, 9(32 ), 1-16. SID. https://sid.ir/paper/236660/en

Vancouver: Copy

arkhi saleh, kalavi shirin. Comparison of pixel-based and object-oriented classification methods for land use mapping Using satellite image (Case Study: Ilam City). GEOGRAPHY AND TERRITORIAL SPATIAL ARRANGEMENT[Internet]. 2019;9(32 ):1-16. Available from: https://sid.ir/paper/236660/en

IEEE: Copy

saleh arkhi, and shirin kalavi, “Comparison of pixel-based and object-oriented classification methods for land use mapping Using satellite image (Case Study: Ilam City),” GEOGRAPHY AND TERRITORIAL SPATIAL ARRANGEMENT, vol. 9, no. 32 , pp. 1–16, 2019, [Online]. Available: https://sid.ir/paper/236660/en

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