What additional data could be used to help distinguish between certain classes when you use objected oriented segmentation as a method to classify an image Solution THE OBJECT ORIENTED SEGMENTATION APPROACH IS A PHILOSOPHY OF IMPROVED IMAGE UNDERSTANDING.HUMAN VISION IS VERY CAPABLE OF DETECTING OBJECTS AND OBJECT CLASSES WITH AN IMAGE. TO PURSUE THIS TYPE OF ANALYSIS, 1. IT IS IMPORTANT TO STAY CLOSE TO THE INTUITIVE IMAGE UNDERSTANDING. OBJECT BASED CLASSIFICATION STARTS WITH THE CRUCIAL INITIAL STEP OF GROUPING NEIGHBOURING PIXELS INTO MEANINGFUL AREASESPECIALLY FOR THE END USER. 2. THE SEGMENTATION AND OBJECT GENERATION MUST BE SET ACCORDING TO THE RESOLUTION AND THE SCALE OF THE EXPECTED OBJECTS.THE SPATIAL CONTEXT PLAY A MAJOR ROLE IN PIXEL BASED ANALYSIS.FILTER OPERATIONS WHICH ARE AN IMPORTANT PART OF THE PIXEL BASED SPATIAL ANALYSIS, HAVE THE LIMITATION OF THEIR WINDOW SIZE. 3. IN OBJECT ANALYSIS, THIS LIMITATION DOES NOT EXIST.THE SPATIAL CONTEXT CAN BE DESCRIBEDIN TERMS OF TOPOLOGIC RELATIONSOF NEIGHBOURHOOD OBJECTS. 4. TO DEFINE THE IMAGE OBJECTS THE THUMB RULE FOR A SEGMENTATION OR PRE SEGMENTATION OF IMAGE PRIMITIVES WHICH CAN BUILD UP THE CORRESPONDING OBJECTS, THERE ARE SEVERAL APPROACHES IN IMAGE ANALYSIS AND PATTERN RECOGNITIONARE EXPLOITED TO GENERATE HYPOTHESIS FOR THE SEGMENTATION RULES AS AN ALTERNATIVE TO KNOWLEDGE BASED SEGMENTATION. 5. THE EARTH OBSERVATION DATA ARE NOT SUFFICIENT TO CHARACTERIZE COMPLETELY THE NATURAL ENVIRONMENT. THEY NEED TO BE ASSOSIATED WITH OTHER DATA. 6. WE HAVE TO FURTHER INVESTIGATE SYNERGY EFFECTS BETWEEN SATELLITE IMAGES AND GIS DERIVED VECTOR DATA, SUCH AS DIGITAL TOPOGRAPHIC DATABASE. THE USE OF SUCH TOPOGRAPHIC DATABASES, WHICH ARE BUILT UP IN MOST COUNTRIES CAN SUPPOT THE SEGMENTATION. 7. THIS DIGITAL DATABASE OFFERS A GEOMETRIC AS WELL AS A SEMANTIC PREDICTIONFOR OBJETCS IN THE IMAGE.DEVELOP A METHODOLOGICAL FRAMEWORK OF OBJECT BASED ANALYSISWHICH OFFERS AN OPTION TO IMPROVE AUTOMATIC INFORMATION DERIVATION FROM A RAPIDLY INCREASED AMOUNT OF DATA FROM DIFFERENT SENSORS. 8. ACHIEVE MEANINGFUL REPRESENTATIONS OF SPATIAL PHYSICAL PARAMETERS DERIVED FROM ORIGINAL REFLECTANCE VALUES. 9. DEVELOP NEW METHODS FOR ACCURACY ASSESSMENT BASED ON OBJECTS RATHER THAN PIXELS. 10. DEVELOP DATA ANALYISIS TOOLS FOR ENVIRONMENTAL MANAGEMENT BASED ON MULTI SCALE OBJECT REPRESENTATION IN ORDER TO SUPPORT DECISION MAKING. THANK YOU..