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Abstract


INTERNATIONAL JOURNAL OF ADVANCES IN MICROWAVE TECHNOLOGY - Volume 2, Issue 2, May 2017

Pages: 98-102

Importance of Speckle Filter Window Size and Its Impact on Speckle Reduction in SAR Images

Author: Kiran Dasari, L.Anjaneyulu

Category: Remote Sensing and Imaging

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Abstract:

The use of microwaves in remote sensing made a revolution in many fields such as space technology, agriculture, urban planning, disaster management, ocean studies. The advantages of the microwaves over optical are, they can penetrate through clouds, vegetation, soil, and day/night operation is possible by active sensing. SAR (Synthetic Aperture Radar) data set from Advanced Land Observing Satellite Phase Array L-band Synthetic Aperture Radar (ALOS PALSAR -2), of Mt Fuji, Japan, has been taken as a study area in this work. In this study, we explored the potential of window size on speckle filters, removal of speckle using speckle filters, the importance of speckle filtering for further classification. In this study, the dataset is evaluated by using different speckle filters like mean, median, frost, gamma map, and lee, for different speckle filter sizes 3x3, 5x5, 7x7, 9x9, and 11x11. This study specifies the selection of data in terms of size of the filter, polarization, and amplitude or intensity for an image. Speckle suppression indices are calculated on SAR data sets and the results are compared to various speckle filters. Based on SSI, ENL and SMPI values, Median Filter Intensity HH with filter size 7x7 is opted for further classification (K-Means Clustering).

 

Keywords: SAR, ALOS PALSAR-2, Speckle Filtering, Filter Window Size, K-Mean Clustering