Multi-scale Fast Segmentation of Remotely Sensed Image Based on Improved Region Adjacency Graph

This paper proposed a multi-scale fast segmentation method.First,we build the improved Region Adjacency Graph(RAG) based on the initial segmentation produced by directly watershed.Then a fast region merging method is applied to the RAG to obtain the multi-scale segmentation result.The merging criterion is the feature vector difference between two adjacent regions.The scale control parameter,which includes the allowed maximum standard deviation and area of a region,is used to produce the multi-scale segmentation results.The proposed method has been successfully tested on QuickBird images.Both the supervised evaluation of segmentation results and the comparison with eCognition have shown that the proposed method performs quite well and it has a full potential in practical applications.