I am trying to create a ROI file from bhtmref.img using ENVI 5.2. I clicked on the ROI tool, chose a Rectangular geometry with both Multi Part and Vertex Snap unchecked. I drew the rectangle and chose "Accept Rectangle". Then in the ROI Tool window, I chose File | Export | Export to Classic, and saved as bhtm_nd.roi. I then ran the following neural network program on IDL 8.4, and got the solid colored ROI shape with no map features for testimg. I don't think that is what it should be, and I think it is because I did not create the ROI file correctly. forward_function envi_get_roi_ids, envi_get_roi_dims_ptr pro neural_network_example ; Restore all the base save files. envi, /restore_base_save_files ; Initialize ENVI and send all errors and warnings tobatch.txt envi_batch_init, log_file=’batch.txt’ ; Open the input file file = 'bmthref.img' envi_open_file, file, r_fid=fid if (fid eq-1) then begin print, ‘Error opening file ’, file envi_batch_exit return endif ; Set the dims and pos to classify all data (spatiallyand spectrally) in the file envi_file_query, fid, ns=ns, nb=nb pos = lindgen(nb) out_name = ‘testimg’ rule_out_name = '' ; Restore the ROI file used as the training pixels. ; Each ROI in the file will be considered an input class. envi_restore_rois, ‘bhtm_nd.roi’ roi_ids = envi_get_roi_ids(fid=fid, roi_colors=lookup,roi_names=class_names) ; Specify the neural net training criteria. theta = 0.9 eta = 0.2 alpha = 0.9 act_type = 0 ams_crit = 0.1 num_layers = 3 num_sweeps = 1000 ; Set the classification variables num_classes = n_elements(roi_ids) class_names = [‘Unclassified’, class_names] lookup =reform([0, 0, 0, reform(lookup, 3*num_classes)], num_classes+1) ; Call thedoit envi_doit, ‘envi_neural_net_doit’, fid=fid, pos=pos, dims=dims,out_name=out_name, rule_out_name=’’, $ theta=theta,eta=eta, alpha=alpha, num_classes=num_classes, num_sweeps=num_sweeps,num_layers=num_layers, $ act_type=act_type, rms_crit=rms_crit, roi_ids=roi_ids, /train,class_name=class_names, lookup=lookup ; Exit ENVI envi_batch_exit end