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Calibration of Sentinel-1 data #586

@effeminati

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@effeminati

We found problems in the calibration of Sentinel-1 data
The calibration polynomial is not well estimated when only a single calibration line belong to the burst
This implies negative amplitude values when applying the noise removal

we suggest exploiting the previous and the successive calibration line in the estimation of the polynomial coefficients

            valid_lines = (line >= (index-1) * lines_per_burst) & (line < (index + 2) * lines_per_burst)
            valid_count = numpy.sum(valid_lines)
            if valid_count == 0:
                # this burst contained no useful calibration data
                return

In addition the polynomial coefficients are referred the first line of the first burst
It would be better to assign to coords_az the local coordinates of each single burst by subtracting "index * lines_per_burst"

            coords_rg = (pixel[valid_lines] + sicd.ImageData.FirstRow - sicd.ImageData.SCPPixel.Row) * sicd.Grid.Row.SS
            coords_az = (line[valid_lines] + sicd.ImageData.FirstCol - sicd.ImageData.SCPPixel.Col - index * lines_per_burst) * sicd.Grid.Col.SS
            # NB: coords_rg = (valid_count, M) and coords_az = (valid_count, )
            coords_az = numpy.repeat(coords_az, pixel.shape[1])
            if valid_count > 1:

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