Multiresolution segmentation adapted for object-based change detection

Clemens Listner; Irmgard Niemeyer

doi:10.1117/12.865133

22 October 2010 Multiresolution segmentation adapted for object-based change detection

Clemens Listner, Irmgard Niemeyer

Proceedings Volume 7830, Image and Signal Processing for Remote Sensing XVI; 78300U (2010) https://doi.org/10.1117/12.865133
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

In object-based change detection approaches using specified object features as change measures, segmentation is the crucial step, especially when also shape changes are considered. In this paper we present an enhanced segmentation procedure based on the multiresolution segmentation. The procedure segments the first image using the multiresolution segmentation. The segmentation is then applied to the second image and checked for its consistency. If a segment is found to be inconsistent with the second image, it is split up. The performance of the proposed procedure is demonstrated based on simulated and real image data.

Citation Download Citation

Clemens Listner and Irmgard Niemeyer "Multiresolution segmentation adapted for object-based change detection", Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 78300U (22 October 2010); https://doi.org/10.1117/12.865133

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