Information Extraction of High-Resolution Remotely Sensed Image based on Multiresolution Segmentation

P. Shao, G.-D. Yang, X.-F. Niu, X.-P. Zhang, F.-L. Zhan, T.-Q. Tang
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The principle of multiresolution segmentation was represented in detail in this study, and the canny algorithm was applied for edge-detection of remotely sensed image based on this principle. The target image was divided into regions based on objectoriented multiresolution segmentation and edge-detection. Further, object hierarchy was created, and a series of features (water bodies, vegetation, roads, residential areas, bare land and other information) were extracted by the spectral and
more » ... cal features. The results indicates that edge-detection make a positive effect on multiresolution segmentation, and overall accuracy of information extraction reaches to 94.6% through confusion matrix.
doi:10.5194/isprsarchives-xl-4-w3-117-2013 fatcat:l3ek7kjyzrcpphn32wvm7phfce