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Proceedings Paper

A new classification algorithm for high spatial resolution remote sensing data
Author(s): Jiying Yuan; Guojin He
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Paper Abstract

In this paper, we propose a new classification algorithm for high spatial resolution remote sensing data, which makes use of both the spatial information and spectral information of the remote sensing data, and is also suitable for the specific data format that high special resolution remote sensing data has. Because the classification is based on the remote sensing raw data, image fusion process of the raw data can be avoided, which will lower the computational cost. Moreover, the classification algorithm framework we propose can be extended for other segmentation algorithms.

Paper Details

Date Published: 29 December 2008
PDF: 7 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72850H (29 December 2008); doi: 10.1117/12.815912
Show Author Affiliations
Jiying Yuan, Ctr. for Earth Observation and Digital Earth (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Guojin He, Ctr. for Earth Observation and Digital Earth (China)


Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)

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