Technique for semi-automatic extraction of a residential area in a high-resolution remote sensing image

Junying Su; Jianqing Zhang; Qingwu Hu

doi:10.1117/12.538687

25 September 2003 Technique for semi-automatic extraction of a residential area in a high-resolution remote sensing image

Junying Su, Jianqing Zhang, Qingwu Hu

Author Affiliations +

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538687
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

In this paper a residential area texture description based on the 3 x 3 region grey deviations is designed and the Gauss blur is applied to make the residential area in the texture character image possess accordant grey value and limited contrast relative to the background area so as to obtain self-adaptive threshold for image segmentation. And a skeleton processing is proposed to eliminate the road from the residential area. The experiment results of the semi-automatic extraction of the residential area in the remote sensing image with 3 meters ground resolution show this technique is very simple and effective to the semi-automatic extraction of the residential area and can meet the precision requirement of the mapping and surveying with satellite images.

Citation Download Citation

Junying Su, Jianqing Zhang, and Qingwu Hu "Technique for semi-automatic extraction of a residential area in a high-resolution remote sensing image", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538687

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