Object-oriented information extraction technology from QuickBird pan-sharpened images

Chunyan Zhou; Ping Wang; Zhenyong Zhang; Chengtao Qi; Ying Wang

doi:10.1117/12.725360

11 January 2007 Object-oriented information extraction technology from QuickBird pan-sharpened images

Chunyan Zhou; Ping Wang; Zhenyong Zhang; Chengtao Qi; Ying Wang

Author Affiliations +

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62793L (2007) https://doi.org/10.1117/12.725360
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

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.

Citation Download Citation

Chunyan Zhou, Chunyan Zhou, Ping Wang, Ping Wang, Zhenyong Zhang, Zhenyong Zhang, Chengtao Qi, Chengtao Qi, Ying Wang, 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); doi: 10.1117/12.725360; https://doi.org/10.1117/12.725360

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years