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Proceedings Paper

Synthesis of multi-scale segmentation results based on land cover categories
Author(s): Lina Yi; Zhaocong Wu; Guifeng Zhang; Yiming Zhang
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Paper Abstract

In remote sensing imagery, ground objects belonging to the same land cover category always have similar optimal segmentation scales. The paper proposed a method using the land cover categories as a prior knowledge to guide the synthesis of multi-scale image segmentation results. This method took into account the variety of scale characteristics of different ground objects as well as the similarity of scale of objects belonging to the same land cover category. Firstly, the image was coarsely divided into multiple regions, and each of them belonged to a land cover category. Then for each category, we selected the optimal segmentation scale by the supervised accuracy assessment of segmentation results. Finally, the optimal scales of segmentation results were synthesized to get the final segmentation result. To validate this method, the Quickbird image was segmented and classified. Experimental results showed that this method could generate accurate segmentation results for the latter classification.

Paper Details

Date Published: 16 August 2011
PDF: 9 pages
Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030R (16 August 2011); doi: 10.1117/12.910406
Show Author Affiliations
Lina Yi, Wuhan Univ. (China)
Zhaocong Wu, Wuhan Univ. (China)
Guifeng Zhang, Academy of Opto-Electronics (China)
Yiming Zhang, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 8203:
Remote Sensing of the Environment: The 17th China Conference on Remote Sensing

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