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Proceedings Paper

Object-oriented information extraction technology from QuickBird pan-sharpened images
Author(s): Chunyan Zhou; Ping Wang; Zhenyong Zhang; Chengtao Qi; Ying Wang
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Paper Abstract

The high spatial resolution Remote Sensing image has richer information than the low or middle resolution image, such as structure and texture information. Traditional image classification technology which only uses spectral information of pixels is not suitable for the high resolution image. In order to make full use of the rich information, object-oriented thought is introduced into the high resolution information extraction. In contrast to traditional methods, the basic processing units of object oriented image analysis are image objects, and not single pixels. It could fully integrate spectral values and spatial information such as: shape, size and contextual relationship. The objective of this study is to extract kinds of information from QuickBird image of the urban area using the object-oriented information extraction approaches. Image processing includes geometric correction, HIS fusion, image segmentation and classification using the integration of fuzzy classification and the nearest neighbor (NN). 84.82% overall accuracy is achieved with this approach, while only 73.87% is achieved with traditional pixel-based method. It shows that object-oriented approach is promising in providing detailed and accurate information about the physical structure of urban areas from the high spatial image.

Paper Details

Date Published: 11 January 2007
PDF: 8 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62793L (11 January 2007); doi: 10.1117/12.725360
Show Author Affiliations
Chunyan Zhou, Shandong Univ. of Science and Technology (China)
Institute of Remote Sensing Applications (China)
Ping Wang, Shandong Univ. of Science and Technology (China)
Zhenyong Zhang, Shandong Univ. of Science and Technology (China)
Chengtao Qi, Shandong Univ. of Science and Technology (China)
Ying Wang, Xi'an Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics
Xun Hou; Wei Zhao; Baoli Yao, Editor(s)

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