Analysis of Multitemporal Satellite Image Pattern Recognition using Haralick Method to Identify Rice Plant Growth Phase

Authors

  • Chairuddin Chairuddin Stmik-im, bandung, 40393, Indonesia
  • D. Suwardhi Geodesy and Geomatics Engineering, Institute of Technology Bandung (ITB), 40373, Indonesia
  • L. B. Prasetyo Forest Resources Conservation Department Forestry Faculty, Bogor Agricultural University, 40776, Indonesia
  • K. Wikantika Geodesy and Geomatics Engineering, Institute of Technology Bandung (ITB), 40373, Indonesia

Keywords:

Pattern Recognition, GLCM, Haralick, Multitemporal image.

Abstract

This study focused on the manipulation of multitemporal satellite image data namely Landsat 8 of rice plant growth phase identification to determine pattern group or category based on the features possessed by the image pattern based on the growth phase of rice plant in which the initial process of pattern recognition was through the feature extraction on the image by using gray level co-occurrence matrix (GLCM) and Haralick methods which were then used as inputs of pattern formation.

References

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Internet

M.Syarif, GLCM, http://www.softscients.web.id/, [Des.3, 2015]

NASA(2015),Landsat8,http://landsat.gsfc.nasa.gov/news/news_archive/news_o429.html,[Agu.24,2015]

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Published

2016-05-02

How to Cite

Chairuddin, C., Suwardhi, D., Prasetyo, L. B., & Wikantika, K. (2016). Analysis of Multitemporal Satellite Image Pattern Recognition using Haralick Method to Identify Rice Plant Growth Phase. International Journal of Sciences: Basic and Applied Research (IJSBAR), 26(3), 207–220. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/5460

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Section

Articles