best practice for updating RPCs with new coordinate sets?

[joemcglinchy]

Hello,

I was wondering if the example in usage.py for calibrating the RPCs using calibrate_rpc can also be used as-is with the same optional arguments for updating the RPC model with new point sets? Or is there a recommended set of values for the optional arguments when updating?

is something like this the best way to accomplish an update to the RPC model?

# fit on training set
rpc_calib, log = rpc_fit.calibrate_rpc(target_train, locs_train, separate=False, tol=1e-10
                                      , max_iter=20, method='initLcurve'
                                      , plot=True, orientation = 'projloc', get_log=True )

# add new points to update rpc
rpc_update, log_update = rpc_fit.calibrate_rpc(target_update, locs_update, separate=False, tol=1e-10
                                      , max_iter=20, method='initLcurve'
                                      , plot=True, orientation = 'projloc', get_log=True,
                                      init=rpc_calib)