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Information Journal Paper

Title

LAND COVER MAPPING OF ISFAHAN CITY USING ARTIFICIAL MULTILAYER PERCEPTRON NEURAL NETWORK AND FUZZY ARTMAP CLASSIFIERS

Pages

  127-143

Abstract

 Introduction: Physical development of cities is inevitable and a dynamic process which will change the land cover areas. Urban growth must be led by the most appropriate land use planning. Urban land cover/use maps are used for current and future land use and urban planning. Remote sensing technology and application of satellite data in mapping land cover often will reduce costs, save time, and increase accuracy and speed. There are several methods to classify land cover. If we classify the methods of supervised classification algorithms based on complexity and accuracy, they can be divided into two main methods (the average distance to the minimum, maximum likelihood, etc.) and advanced methods (neural network, fuzzy classification methods and knowledge base methods). In support of image classification, two different methods including, FUZZY ARTMAP classifier and MULTILAYER PERCEPTRON NEURAL NETWORK classifier were used. In this study, in order to produce land cover map of ISFAHAN city, digital image of LISS-III scanner that was acquired on 8th August 2008 were employed.

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  • Cite

    APA: Copy

    ZAERI AMIRANI, A., & SOFFIANIAN, A.. (2012). LAND COVER MAPPING OF ISFAHAN CITY USING ARTIFICIAL MULTILAYER PERCEPTRON NEURAL NETWORK AND FUZZY ARTMAP CLASSIFIERS. PHYSICAL GEOGRAPHY RESEARCH QUARTERLY, -(79), 127-143. SID. https://sid.ir/paper/138736/en

    Vancouver: Copy

    ZAERI AMIRANI A., SOFFIANIAN A.. LAND COVER MAPPING OF ISFAHAN CITY USING ARTIFICIAL MULTILAYER PERCEPTRON NEURAL NETWORK AND FUZZY ARTMAP CLASSIFIERS. PHYSICAL GEOGRAPHY RESEARCH QUARTERLY[Internet]. 2012;-(79):127-143. Available from: https://sid.ir/paper/138736/en

    IEEE: Copy

    A. ZAERI AMIRANI, and A. SOFFIANIAN, “LAND COVER MAPPING OF ISFAHAN CITY USING ARTIFICIAL MULTILAYER PERCEPTRON NEURAL NETWORK AND FUZZY ARTMAP CLASSIFIERS,” PHYSICAL GEOGRAPHY RESEARCH QUARTERLY, vol. -, no. 79, pp. 127–143, 2012, [Online]. Available: https://sid.ir/paper/138736/en

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