Synthesis of multi-scale segmentation results based on land cover categories

Lina Yi; Zhaocong Wu; Guifeng Zhang; Yiming Zhang

doi:10.1117/12.910406

15 August 2011 Synthesis of multi-scale segmentation results based on land cover categories

Lina Yi, Zhaocong Wu, Guifeng Zhang, Yiming Zhang

Proceedings Volume 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing; 82030R (2011) https://doi.org/10.1117/12.910406
Event: Seventeenth China Symposium on Remote Sensing, 2010, Hangzhou, China

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.

Citation Download Citation

Lina Yi, Zhaocong Wu, Guifeng Zhang, and Yiming Zhang "Synthesis of multi-scale segmentation results based on land cover categories", Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030R (15 August 2011); https://doi.org/10.1117/12.910406

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