Thermal Noise Removal From Polarimetric Sentinel-1 Data

This study proposes, for the first time, an approach to remove thermal noise from wave coherency matrix, $\mathrm {C_{2}}$ , estimated single-look complex dual-polarization Interferometric Wide Swath mode Sentinel-1 synthetic aperture radar data. The is straightforward; it exploits ThermalNoiseRemoval module, provided by European Space Agency (ESA) in its Sentinel Application Platform (SNAP) software, channel intensities. Then, correction on data applied, order estimate noise-free matrix. As a further novelty, proposed can be implemented SNAP, through use of processing graph that here provided. method applied dense time series data, collected agricultural area located near Seville, Spain. impact estimation eigendecomposition parameters i.e., entropy ( notation="LaTeX">$H_{2}$ ), average alpha angle notation="LaTeX">$\overline {\alpha _{2}}$ and anisotropy notation="LaTeX">$A_{2}$ assessed different land-cover types, namely river, rice, forest, urban areas. Monte Carlo simulations are assess performance estimating . Results show removal improves these considered classes.