Semi-supervised segmentation of multispectral remote sensing image based on spectral clustering

Xiangrong Zhang; Ting Wang; Licheng Jiao

doi:10.1117/12.832880

30 October 2009 Semi-supervised segmentation of multispectral remote sensing image based on spectral clustering

Xiangrong Zhang, Ting Wang, Licheng Jiao

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74941F (2009) https://doi.org/10.1117/12.832880
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

In this paper, a new multi-spectral remote sensing image segmentation method based on multi-parameter semi-supervised spectral clustering (STS³C) is proposed. Two types of instance-level constraints: must-link and cannot-link are incorporated into spectral cluster to construct semi-supervised spectral clustering in which the self-tuning parameter is applied to avoid the selection of the scaling parameter. Further, when STS³C is applied to multi-spectral remote sensing image segmentation, the uniform sampling technique combined with nearest neighbor rule is used to reduce the computation complexity. Segmentation results show that STS³C outperforms the semi-supervised spectral clustering with fixed parameter and the well-known clustering methods including k-means and FCM in multi-spectral remote sensing image segmentation.

Citation Download Citation

Xiangrong Zhang, Ting Wang, and Licheng Jiao "Semi-supervised segmentation of multispectral remote sensing image based on spectral clustering", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74941F (30 October 2009); https://doi.org/10.1117/12.832880

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