Change detection from multitemporal remote sensing image based on canonical transformation

Mingsheng Liao; Hui Lin; Pan Zhu; Jianya Gong

doi:10.1117/12.441401

25 September 2001 Change detection from multitemporal remote sensing image based on canonical transformation

Mingsheng Liao, Hui Lin, Pan Zhu, Jianya Gong

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441401
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Mingsheng Liao, Hui Lin, Pan Zhu, and Jianya Gong "Change detection from multitemporal remote sensing image based on canonical transformation", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441401

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

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