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Information Journal Paper

Title

COMPARING MAXIMUM LIKELIHOOD AND FUZZY APPROACH TO LAND USE/COVER MAPPING IN A SOUTHERN KHUZESTAN USING LANDSAT IMAGES

Pages

  69-79

Abstract

 Land use/cover (LULC) classification using REMOTE SENSING images is one of the most important applications of REMOTE SENSING technology. Recently, a lot of algorithms have been developed for mapping LULC. The aim of the study was to compare the maximum likelihood and fuzzy approach to mapping land use/cover using LandSat satellite images. After preparing images (radiometric and geometric corrections), with field visiting, land use/cover map were prepared. For determining accuracy assessment training samples were used. Results relating to the overall accuracy of the classification show that the fuzzy classification method possessing kappa coefficient of 99% has higher accuracy than the method of maximum likelihood algorithm possessing kappa coefficient of 98%.

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    Cite

    APA: Copy

    MOMBENI, M., ASIABI, M., & KARAMSHAHI, A.A.. (2013). COMPARING MAXIMUM LIKELIHOOD AND FUZZY APPROACH TO LAND USE/COVER MAPPING IN A SOUTHERN KHUZESTAN USING LANDSAT IMAGES. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 4(2), 69-79. SID. https://sid.ir/paper/189619/en

    Vancouver: Copy

    MOMBENI M., ASIABI M., KARAMSHAHI A.A.. COMPARING MAXIMUM LIKELIHOOD AND FUZZY APPROACH TO LAND USE/COVER MAPPING IN A SOUTHERN KHUZESTAN USING LANDSAT IMAGES. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2013;4(2):69-79. Available from: https://sid.ir/paper/189619/en

    IEEE: Copy

    M. MOMBENI, M. ASIABI, and A.A. KARAMSHAHI, “COMPARING MAXIMUM LIKELIHOOD AND FUZZY APPROACH TO LAND USE/COVER MAPPING IN A SOUTHERN KHUZESTAN USING LANDSAT IMAGES,” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 4, no. 2, pp. 69–79, 2013, [Online]. Available: https://sid.ir/paper/189619/en

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