INTRODUCING EXPERT KNOWLEDGE
IN A CLASSIFICATION PROCESS
Localization of the Classes
Expert Knowledge and Out-image Data
Expert Rules
Complementary Information
Digital Elevation Model
Roads
Urban Zones and Villages
Maps derived from Out-image Information
Image of Slopes
Image of Orientations
Image of Ridges
Distance to Ridges
Image of Valleys
Image of Distances to Valleys
Image of Distances to Villages
Image of Distances to Roads
How to Introduce Expert Knowledge in the Classification Process?
Knowledge Integration: an Updating Approach
Knowledge Integration : a Fusion Approach
Adequation to the Deductive Process
Expert System Approach
General Description of the System
Knowledge Base
Context Computation (Facts Base)
Inference Engine
ICARE: an Expert System for Satellite Image Interpretation
ICARE - Expert System Description
Knowledge Base
Construction of the Knowledge Base
Possible Forms of "Pointwise" Rules
Knowledge Base Production Rules for Palni Hills
Fact Data Base
Inference Engine
Algorithm
Rules' Conclusions Computation
Practical Example
Maximum Likelihood Method
Maximum Likelihood Classification
ICARE Classification (
imp
=0.3)
ICARE Classification (
imp
=0.6)
ICARE Classification (
imp
=0.9)
Discussion
IRIT-UPS
