A Land Use Classification Method based on Region and Edge Information Fusion (TA-P8)

Author(s) : Gang Wu (National Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences, China) Chunhong Pan (National Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences, China) Veronique Prinet (National Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences, France) Songde Ma (National Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences, China)

Abstract : In this paper, we propose an unsupervised land use classification method for multispectral image. Especially, we present a novel spatial mean shift procedure and an automatic band selection method. We make full use of the edge information from the mean shift procedure to improve the over-segmentation. Experimental results on Landsat TM images validate the efficiency of the proposed method.

Menu