A scene color chart from specific reflectances.

Color charts are useful for many types of testing. Here we build a chart from natural reflectance samples. We then find the spectral basis functions that describe 99.9% of the variance in the scene reflectances, and compress the scene data.

Create the Natural-100 scene reflectance chart

scene = sceneCreate('reflectance chart');

It is possible to choose your own reflectances

Or write code like this to choose your own basis functions

s = ieReadSpectra(sFiles{1});
sFiles = cell(1,6);
sFiles{1} = fullfile(isetRootPath,'data','surfaces','reflectances','MunsellSamples_Vhrel.mat');
sFiles{2} = fullfile(isetRootPath,'data','surfaces','reflectances','Food_Vhrel.mat');
sFiles{3} = fullfile(isetRootPath,'data','surfaces','reflectances','DupontPaintChip_Vhrel.mat');
sFiles{4} = fullfile(isetRootPath,'data','surfaces','reflectances','HyspexSkinReflectance.mat');
sFiles{5} = fullfile(isetRootPath,'data','surfaces','reflectances','Nature_Vhrel.mat');
sFiles{6} = fullfile(isetRootPath,'data','surfaces','reflectances','Objects_Vhrel.mat');

sSamples = [12,12,24,5,24,12];    % Samples from each file

pSize = 24;    % Patch size
wave =[];      % Whatever is in the file
grayFlag = 0;  % No gray strip
sampling = 'no replacement';
scene = sceneReflectanceChart(sFiles,sSamples,pSize,wave,grayFlag,sampling);
ieAddObject(scene); sceneWindow;

Approximate the reflectance chart with a linear model

wave        = sceneGet(scene,'wave');
reflectance = sceneGet(scene,'reflectance');

% Do not remove the mean, and require explaining 0.999 of the variance
mType = 'canonical';  % The alternative is 'mean svd', which removes the mean first.
bType = 0.999;
[~, basisData,~,varExplained] = hcBasis(reflectance,bType,mType);
fprintf('Variance explained %.03f by %d bases\n',...
    varExplained,size(basisData,2));

Variance explained 0.999 by 7 bases

Show the basis functions

vcNewGraphWin;
plot(wave, basisData);
xlabel('Wave (nm)'); ylabel('Basis scale');

Set a lower requirement for variance explained

bType = 0.95;
[~, basisData,~,varExplained] = hcBasis( reflectance,bType,mType);
fprintf('Variance explained %.03f by %d bases\n',...
    varExplained,size(basisData,2));
vcNewGraphWin;
plot(wave, basisData);
xlabel('Wave (nm)'); ylabel('Basis scale');

Variance explained 0.971 by 2 bases

When bType is greater than 1, then hcBasis selects a number of basis functions

bType = 5;
[~, basisData,~,varExplained] = hcBasis( reflectance,bType,mType);
fprintf('Variance explained %.03f by %d bases\n',...
    varExplained,size(basisData,2));
tmp = size(basisData);

vcNewGraphWin;
plot(wave, basisData);
xlabel('Wave (nm)'); ylabel('Basis scale');

Variance explained 0.998 by 5 bases

Two ways to save the data

sceneToFile
ieSaveMultiSpectralImage