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Proceedings Paper

Extraction of urban impervious surface information based on object-oriented technology
Author(s): Aixia Liu; Xiaojie Zhao; Jing Wang; Ting He
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Paper Abstract

Impervious surface is an important part of urban underlying surface, as well as an important monitoring index for city ecological system and environment changes. However, accurate impervious surface extraction is still a challenge. This paper uses the color, shape and overall heterogeneity features from the high spatial resolution remote sensing image to extract the impervious surface. An edge-based image segmentation algorithm is put forward to fuse heterogeneous objects which integrates edge features and multi-scale segmentation algorithm and uses the edge information to guide image objects generation. Results showed that this method can greatly improve the accuracy of image segmentation. Accuracy assessment indicated that the overall impervious surface classification accuracy and a Kappa coefficient yield 87% and 0.84, respectively.

Paper Details

Date Published: 24 October 2013
PDF: 6 pages
Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88931K (24 October 2013); doi: 10.1117/12.2029055
Show Author Affiliations
Aixia Liu, China Institute of Land Surveying and Planning (China)
Xiaojie Zhao, China Institute of Land Surveying and Planning (China)
Jing Wang, China Institute of Land Surveying and Planning (China)
Ting He, China Institute of Land Surveying and Planning (China)


Published in SPIE Proceedings Vol. 8893:
Earth Resources and Environmental Remote Sensing/GIS Applications IV
Ulrich Michel; Daniel L. Civco; Karsten Schulz; Manfred Ehlers; Konstantinos G. Nikolakopoulos, Editor(s)

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