Proceedings Paper
Change detection from multitemporal remote sensing image based on canonical transformation| Format | Member Price | Non-Member Price |
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Paper Abstract
The change detection is one of the important topics in multi-temporal remotely sensed data and significant effort has gone into development of change detection method. This paper will introduce the method for multi-temporal change detection with multivariate analysis, which is based on the canonical correlation analysis and the orthogonal transformation. Moreover, a case study with NOAA/AVHRR data will also be presented.
Paper Details
Date Published: 25 September 2001
PDF: 4 pages
Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); doi: 10.1117/12.441401
Published in SPIE Proceedings Vol. 4548:
Multispectral and Hyperspectral Image Acquisition and Processing
Qingxi Tong; Yaoting Zhu; Zhenfu Zhu, Editor(s)
PDF: 4 pages
Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); doi: 10.1117/12.441401
Show Author Affiliations
Mingsheng Liao, Chinese Univ. of Hong Kong (Hong Kong)
Hui Lin, Chinese Univ. of Hong Kong (Hong Kong)
Hui Lin, Chinese Univ. of Hong Kong (Hong Kong)
Pan Zhu, Asian Institute of Technology (Thailand)
Jianya Gong, Wuhan Univ. (China)
Jianya Gong, Wuhan Univ. (China)
Published in SPIE Proceedings Vol. 4548:
Multispectral and Hyperspectral Image Acquisition and Processing
Qingxi Tong; Yaoting Zhu; Zhenfu Zhu, Editor(s)
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