Hi

From a customer we received this relevant question.:

I have a question regarding some customized algorithms in E-Cognition. There was an algorithm made by some researchers for determining the Jeffreys–Matusita distance (JM) to evaluate the separability of different features on the samples as mentioned in the following article:

https://www.researchgate.net/publication/228732591_SEaTH-A_new_tool_for_automated_feature_extraction_in_the_context_of_object-based_image_analysis

I tried looking for this algorithm yet I didn’t find it anywhere. Could you help me try to find it? I tried using the Feature space optimization but it is known that the JM method is more effective for showing the separation index.