b171c97f2974ef3f884ad9674de137eda7023875,functions/LinearSpectralUnmixing.py,LinearSpectralUnmixing,updateRasterInfo,#LinearSpectralUnmixing#,55

Before Change

            // rough estimation of output stats
            outStats = {"minimum": -10.0, "maximum": 10.0, "skipFactorX": 10, "skipFactorY": 10}
        // repeat stats for all output raster bands
        outStats = tuple(outStats for i in xrange(bandCount))

        kwargs["output_info"]["bandCount"] = bandCount
        kwargs["output_info"]["statistics"] = outStats

After Change

        self.coefficients = np.array(list(self.signatures.values())).T

        // output bandCount is number of endmembers + 1 residuals raster
        if self.coefficients.shape[0] != kwargs["raster_info"]["bandCount"]:
            raise Exception("Incoming raster has {0} bands; endmember signatures "
                            "indicate {1} input bands.".format(
                                kwargs["raster_info"]["bandCount"], self.coefficients.shape[0]))

        // determine output pixel value method
        self.applyScaling = kwargs["method"].lower() == "scaled"
        outStats = {
            "minimum": 0. if self.applyScaling else -10.,
            "maximum": 1. if self.applyScaling else 10.,

Instances