#! /usr/bin/env python3
#
# Copyright 2018 California Institute of Technology
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# ISOFIT: Imaging Spectrometer Optimal FITting
# Author: David R Thompson, david.r.thompson@jpl.nasa.gov
#
import numpy as np
from scipy.interpolate import interp1d
from ..core.common import load_spectrum, load_wavelen
from isofit.configs import Config
[docs]class Surface:
"""A model of the surface.
Surface models are stored as MATLAB '.mat' format files.
"""
def __init__(self, full_config: Config):
config = full_config.forward_model.surface
self.statevec_names = []
self.bounds = np.array([])
self.scale = np.array([])
self.init = np.array([])
self.bvec = []
self.bval = np.array([])
self.emissive = False
if config.reflectance is not None:
self.rfl = config['reflectance']
self.resample_reflectance()
if config.reflectance_file is not None:
self.rfl, self.rwl = load_spectrum(config.reflectance_file)
self.wl = self.rwl.copy()
self.n_wl = len(self.wl)
if config.wavelength_file is not None:
self.wl, self.fwhm = load_wavelen(config.wavelength_file)
self.n_wl = len(self.wl)
self.resample_reflectance()
[docs] def resample_reflectance(self):
"""Make sure model wavelengths align with the wavelength file."""
if hasattr(self, 'rwl'):
p = interp1d(self.rwl, self.rfl, fill_value='extrapolate')
self.rfl = p(self.wl)
[docs] def xa(self, x_surface, geom):
"""Mean of prior state vector distribution calculated at state x."""
return np.array(self.init)
[docs] def Sa(self, x_surface, geom):
"""Covariance of prior state vector distribution calculated at state x."""
return np.zeros((0, 0), dtype=float)
[docs] def fit_params(self, rfl_meas, geom, *args):
"""Given a directional reflectance estimate and one or more emissive
parameters, fit a state vector."""
return np.array([])
[docs] def calc_lamb(self, x_surface, geom):
"""Calculate a Lambertian surface reflectance for this state vector."""
return self.rfl
[docs] def calc_rfl(self, x_surface, geom):
"""Calculate the directed reflectance (specifically the HRDF) for this
state vector."""
return self.rfl
[docs] def drfl_dsurface(self, x_surface, geom):
"""Partial derivative of reflectance with respect to state vector,
calculated at x_surface. In the case that there are no free
paramters our convention is to return the vector of zeros."""
return np.zeros((self.n_wl, 1))
[docs] def drfl_dsurfaceb(self, x_surface, geom):
"""Partial derivative of reflectance with respect to unmodeled
variables, calculated at x_surface. In the case that there are no
free paramters our convention is to return the vector of zeros."""
return np.zeros((self.n_wl, 1))
[docs] def calc_Ls(self, x_surface, geom):
"""Emission of surface, as a radiance."""
return np.zeros((self.n_wl,))
[docs] def dLs_dsurface(self, x_surface, geom):
"""Partial derivative of surface emission with respect to state vector,
calculated at x_surface. In the case that there are no free paramters
our convention is to return the vector of zeros."""
return np.zeros((self.n_wl, 1))
[docs] def summarize(self, x_surface, geom):
"""Summary of state vector."""
return ''