eCognition TTA Mask : Aerial images in ecognition for supervised classification

Question

I am using eCognition Developer Trial 8.0. I have rgb Drone Otho foto. We want to classify this image for various biotope types exist in that region. We have already an existing classification as a thematic layer that contains at least 100 of classes.

My primary idea was to classify based on TTA mask. So that I donot need to assign it by hand. I have genererated TTA mask using this solution.

I do not have any idea if it is possible to classify the whole area/image based on TTA mask or how it works.
You can take a look of my data screenshots:

Shiuli Pervin · Accepted Answer

Now I got the process diagram of doing image classification using TTA Mask in eCognition.

step 1: Multiresolution segmentation to generate objects

step 2: loading TTA mask for classification:

Classification--> Samples--> Load TTA Mask
You can control viewing TTA Mask or image layer using view settings.

step 3: create samples for NN Classification:

Classification--> Samples--> Create Samples from TTA Mask

step 4: Select classes for NN: 
 - Classification--> Nearest Neighbor--> Apply Standard NN to    Classes--> all/some you want

step 5: process tree--> Classification-->level1--> filter(none)--> used class->all including unclassified

I hope it would also help others who have a similiar question.

eCognition TTA Mask : Aerial images in ecognition for supervised classification

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