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OBIA on Coastal Landform Based on Structure Tensor

Authors

Sun Shuting, Liu Jianqiang and Zou Bin, National Satellite Ocean Application Service, China

Abstract

This paper presents the OBIA method based on structure tensor to identify complex coastal landforms. That is, develop Hessian matrix by Gabor filtering and calculate multiscale structure tensor. Extract edge information of image from the trace of structure tensor and conduct watershed segment of the image. Then, develop texons and create texton histogram. Finally, obtain the final results by means of maximum likelihood classification with KL divergence as the similarity measurement. The study findings show that structure tensor could obtain multiscale and all-direction information with small data redundancy. Moreover, the method described in the current paper has high classification accuracy.

Keywords

OBIA, Structure Tensor, Texton & Coastal Zone

Full Text  Volume 6, Number 9