Using cloude/pottier decomposition method for polarimetrica classification of RADARSAT-2 satellite image
Publish place: 13th Symposium on Science and Technology Advances: Sustainable Land, New Findings in Civil Engineering and the Environmen
Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
NCCESDR05_009
تاریخ نمایه سازی: 11 اردیبهشت 1398
Abstract:
The satellite polarimetric data does contain more information than the corresponding single polarization data. SAR polarimetry allows discrimination of different types of scattering mechanisms because polarimetric signatures depend on the scattering process. The polarimetric classification is one of the most important applications of radar polarimetry in remote sensing. We present in this paper an unsupervised classification method that identifies target scattering characteristics. We used the entropy /alpha classification based on the Cloude/Pottier decomposition. Results are obtained using coherency matrix. We had fully polarimetric image that is acquired from Quebec in Canada in the band provided by the Canadian Centre for Remote Sensing CCRS.
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Authors
Alireza Sharifi
Shahid Rajaee Teacher Training University, Civil engineering faculty, Tehran, Iran
Mohammad Hosseingholizadeh
Shahid Rajaee Teacher Training University, Civil engineering faculty, Tehran, Iran