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Very high resolution Image Segmentation by combined spectral and structural information

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4 Author(s)
Jing Liu ; Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Haidian District, Beijing 100871, China ; Peijun Li ; Jun Zhang ; Jiancong Guo

Image Segmentation is a key and prerequisite step for object-based analysis using very high resolution (VHR) images. The segmentation method based on morphological profiles proposed in 111 only makes use of the structural information from panchromatic image. This paper proposed a segmentation method for VHR multispectral images by combined spectral and structural information. The proposed method was evaluated by comparing with existing morphological segmentation methods through visual inspection and quantitative measures, using a Quickbird image of Beijing area. The experimental results indicate that the proposed method achieve a better performance.

Published in:

Computer Vision in Remote Sensing (CVRS), 2012 International Conference on

Date of Conference:

16-18 Dec. 2012