Ocean Surface Target Feature Extraction from Fused Multi-Polarized Bands of Sentinel-1 Data

Abstract

The introduction of new generation high-resolution SAR imagery helps in the effective monitoring of land and ocean surfaces. The SAR imagery acquired are often degraded by speckle noise which makes it difficult for quality interpretation mainly in ocean domain. Speckle reduction techniques are applied to these images to reduce the noise prior to other image processing tasks. In this paper, three different speckle reduction methods are applied both in VV and VH polarized bands of Sentinel 1A data. The filtered images are fused with different combinations using stationary wavelet transform. The performance measures of fused images are analyzed and features such as ship parameters and wave characteristics are extracted from the best-fused image.

Keywords: SAR, speckle noise, filtering, fusion, radar cross section, ocean wave spectra 

Cite this Article

Sreeranju TT, Lekshmi S, Praveen Naresh. Ocean Surface Target Feature Extraction from Fused Multi-Polarized Bands of Sentinel-1 Data. Journal of Remote Sensing & GIS. 2018; 9(2): 10–16p.