pyPPPETM_double.py 文件源码

def ct2lg(self, dX, dY, dZ, lat, lon):

        n = dX.size
        R = numpy.zeros((3, 3, n))

        R[0, 0, :] = -numpy.multiply(numpy.sin(numpy.deg2rad(lat)), numpy.cos(numpy.deg2rad(lon)))
        R[0, 1, :] = -numpy.multiply(numpy.sin(numpy.deg2rad(lat)), numpy.sin(numpy.deg2rad(lon)))
        R[0, 2, :] = numpy.cos(numpy.deg2rad(lat))
        R[1, 0, :] = -numpy.sin(numpy.deg2rad(lon))
        R[1, 1, :] = numpy.cos(numpy.deg2rad(lon))
        R[1, 2, :] = numpy.zeros((1, n))
        R[2, 0, :] = numpy.multiply(numpy.cos(numpy.deg2rad(lat)), numpy.cos(numpy.deg2rad(lon)))
        R[2, 1, :] = numpy.multiply(numpy.cos(numpy.deg2rad(lat)), numpy.sin(numpy.deg2rad(lon)))
        R[2, 2, :] = numpy.sin(numpy.deg2rad(lat))

        dxdydz = numpy.column_stack((numpy.column_stack((dX, dY)), dZ))

        RR = numpy.reshape(R[0, :, :], (3, n))
        dx = numpy.sum(numpy.multiply(RR, dxdydz.transpose()), axis=0)
        RR = numpy.reshape(R[1, :, :], (3, n))
        dy = numpy.sum(numpy.multiply(RR, dxdydz.transpose()), axis=0)
        RR = numpy.reshape(R[2, :, :], (3, n))
        dz = numpy.sum(numpy.multiply(RR, dxdydz.transpose()), axis=0)

        return dx, dy, dz