A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette
Author(s)Song, Guiting; Panda, Jagabandhu; Zhang, Yanhui; Chen, Haoliang; Krishna, K. Muni
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A new classification parameter is developed using 1535 ERS-2 wave mode synthetic aperture radar (SAR) test imagettes to better differentiate homogeneous and inhomogeneous imagettes. The comparison between the new parameter (Min) and the previous one (Inhomo) (Schulz-Stellenfleth and Lehner, 2004) was done under varied threshold values of Inhomo. It is concluded that the performance of ‘Min’ is much better than ‘Inhomo’ when applying to the 1535 test imagettes. Furthermore, both Min and Inhomo are applied to nearly 1 million imagettes collected for the period from 1 September 1998 to 30 November 2000. The comparisons of the global inhomogeneous distribution between ‘Min’ and ‘Inhomo’ reveal that both the areas and percentage of inhomogeneity calculated by ‘Min’ are larger than that calculated by ‘Inhomo’. By analyzing the low wind speed distribution of HOAPS data, we found that low wind speed over the ocean is one of the key reasons for the inhomogeneity of SAR imagettes.
DepartmentSingapore-MIT Alliance in Research and Technology (SMART)
Journal of the Indian Society of Remote Sensing
Song, Guiting, Jagabandhu Panda, Yanhui Zhang, Haoliang Chen, and K. Muni Krishna. “A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette.” J Indian Soc Remote Sens 42, no. 1 (October 10, 2013): 13–21.
Author's final manuscript