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The evaluation of the usage of the fuzzy algorithms in increasing the accuracy of the extracted land use maps

Author

Listed:
  • Mojtaba Pirnazar
  • Hafez Hasheminasab
  • Arash Zand Karimi
  • Kaveh Ostad-Ali-Askari
  • Zahra Ghasemi
  • Majedeh Haeri-Hamedani
  • Elham Mohri-Esfahani
  • Saeid Eslamian

Abstract

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. 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.

Suggested Citation

  • Mojtaba Pirnazar & Hafez Hasheminasab & Arash Zand Karimi & Kaveh Ostad-Ali-Askari & Zahra Ghasemi & Majedeh Haeri-Hamedani & Elham Mohri-Esfahani & Saeid Eslamian, 2018. "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, Inderscience Enterprises Ltd, vol. 17(4), pages 307-321.
    • Handle: RePEc:ids:ijgenv:v:17:y:2018:i:4:p:307-321
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    Cited by:

    1. Rohallah Fattahi Nafchi & Hamid Raeisi Vanani & Kobra Noori Pashaee & Hosein Samadi Brojeni & Kaveh Ostad-Ali-Askari, 2022. "Investigation on the effect of inclined crest step pool on scouring protection in erodible river beds," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 1495-1505, February.
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    3. Harsh Wardhan Pandey & Ramesh Kumar & Rajib Kumar Mandal, 2023. "Ranking of mitigation strategies for duck curve in Indian active distribution network using MCDM," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1255-1275, August.
    4. Posadas, A. & Morales, J. & Ibañez, J.M. & Posadas-Garzon, A., 2021. "Shaking earth: Non-linear seismic processes and the second law of thermodynamics: A case study from Canterbury (New Zealand) earthquakes," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    5. Marwa M. Aly & Neveen H. Refay & Hoda Elattar & Karim M. Morsy & Erick R. Bandala & Samir A. Zein & Mohamed K. Mostafa, 2022. "Ecohydrology and flood risk management under climate vulnerability in relation to the sustainable development goals (SDGs): a case study in Nagaa Mobarak Village, Egypt," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1107-1135, June.

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