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11 January 2007Object-oriented information extraction technology from QuickBird pan-sharpened images
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.
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Chunyan Zhou, Ping Wang, Zhenyong Zhang, Chengtao Qi, Ying Wang, "Object-oriented information extraction technology from QuickBird pan-sharpened images," Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62793L (11 January 2007); https://doi.org/10.1117/12.725360