As per the above information, data for both the inputs is same except for normalizations on the input data, so you can create a combined datastore as follows:
cds = combine(imds,imds,labelds);
For more information, you can refer to the following pages on what should be the data format for multiple input networks trainNetwork - Data format & Multiple-Input and Multiple-Output Networks.
Since we are using augmentedImageDatastore and there is a knwon issue on combining the augmentedImageDatastores directly. The workaround is to apply transform on the augmentedImageDatastore and combine it. Also we have to do some other changes to make the workflow possible, as follows:
augimdsTrain.MiniBatchSize = 1;
taugimdsTrain = transform(augimdsTrain,@(x)x{1,1});
labelsTrain = transform(augimdsTrain,@(x){x{1,2}});
% combine the datastores
cds = combine(taugimdsTrain,taugimdsTrain,labelsTrain);
For more information, refer to the following answer on similar issue with other datastore when combining Error Combining two pixelLabelImageDatastores or randomPatchExtractionDatastores.
