Comparison of Texture’s Features of SAR Images Based on Grey Level Co-occurrence Matrix : Case on Multi Polarization P Band and L Band
Journal Title: International Research Journal of Computer Science - Year 2016, Vol 0, Issue 0
Abstract
Texture of SAR Image could be extracted by using Grey Level Co-occurence Matrix method. This research was an extended research on texture’s feature which had aim to calibrate the sea wave height. The research object was the Sinthetyc Apperture Radar (SAR) image L band of Kalimantan’s coastal. This L Band SAR image had full polarization such as horizontal horizontal, horizontal vertical, vertical horizontal and vertical vertical. The result showed Horizontal Vertical polarization and Vertical Vertical polarization both in P and L band had good accuracy in homogeneity, it means that this feature could be considered as the proposed calibrator for the sea wave height in 0° observation angle of Grey Level Co-occurrence Matrix.
Authors and Affiliations
Harwikarya .
Keywords
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- EP ID EP180428
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