Improving boundary classification accuracy of remotely sensed images using weighted semivariogram

Shoujing Yin; Xiaoling Chen

doi:10.1117/12.749719

14 November 2007 Improving boundary classification accuracy of remotely sensed images using weighted semivariogram

Shoujing Yin, Xiaoling Chen

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67892S (2007) https://doi.org/10.1117/12.749719
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The spectral dependence between neighboring pixels in the remotely sensed image is useful for the discrimination of land use/cover types, but it is neglected in most classical classification algorithms. Variogram-based method is popular in exploiting the spatial information of spectrum in the remotely sensed images. Although this method has been utilized in many ways, it still tends to misclassify the pixels near boundaries in practice and therefore leads to boundary-blurring problem. A weighted semivariogram (WSV) method is proposed to solve that problem in this paper, and the results also show good performance in improving the boundary classification accuracy of remotely sensed images.

Citation Download Citation

Shoujing Yin and Xiaoling Chen "Improving boundary classification accuracy of remotely sensed images using weighted semivariogram", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67892S (14 November 2007); https://doi.org/10.1117/12.749719

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image classification

Earth observing sensors

Landsat

Algorithm development

Image processing

Image resolution

Remote sensing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years