What is it about?
Within this paper, we evaluate the accuracy of three methods of classification including: object-oriented algorithms of the satellite images classification without the use of fuzzy algorithms, algorithm based on fuzzy algorithms, and pixel-based algorithms The accuracy of each method obtained by comparing the results with pixel-based algorithm in land use/land cover classification in Maragheh County. To reach this goal, AVNIR2 sensor images that generated from ALOS satellite were used to classify land use. The results obtained from the methods indicated that the classifications which produced by object-oriented classification method were more accurate than that of pixel-based method. The accuracy of fuzzy knowledge-based method was 93.28%. However the accuracy of the object-oriented method without using of the fuzzy algorithms and the pixel-based algorithm method were 88.06% and 83.79% respectively.
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Why is it important?
According to these results, using higher spatial resolution images along with proper algorithms for extracting of features of land use classes is recommended to environmental researches.
Perspectives
Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. This article also lead to rare disease groups contacting me and ultimately to a greater involvement in rare disease research.
Dr. Kaveh Ostad-Ali-Askari
American University in Dubai
Read the Original
This page is a summary of: The evaluation of the usage of the fuzzy algorithms in increasing the accuracy of the extracted land use maps, International Journal of Global Environmental Issues, January 2018, Inderscience Publishers,
DOI: 10.1504/ijgenvi.2018.095063.
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