High-resolution remote sensing image automatic segmentation by Gabor texture feature

Fang Xu; Qing He; Jiangqin Ma

doi:10.1117/12.833940

30 October 2009 High-resolution remote sensing image automatic segmentation by Gabor texture feature

Fang Xu, Qing He, Jiangqin Ma

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74953F (2009) https://doi.org/10.1117/12.833940
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The paper presents an high-resolution Remote Sensing image segmentation method, which uses distributions of local binary patterns/contrasts (LBP/C) of Gabor texture features for measuring the similarity of adjacent image regions during the segmentation process. The method and algorithmic is integrated into split-merge plus refinement framework. The central rationale of the method is that automatically segmenting image into different regions corresponding to Gabor texture feature. In the procedure for split-merge and refinement, segmentation is realized by comparing correlation coefficient between different Gabor features LBP/C histogram of sub-regions. The image can be segmented into different regions that frequently correspond to different land-use or other objects. Experimental results show that it is effective to uses the Gabor texture features in high-resolution remote sensing image segmentation.

Citation Download Citation

Fang Xu, Qing He, and Jiangqin Ma "High-resolution remote sensing image automatic segmentation by Gabor texture feature", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74953F (30 October 2009); https://doi.org/10.1117/12.833940

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