An approach to change detection in time series of SAR images based on multitemporal similarity measures

F. Bovolo; L. Bruzzone

doi:10.1117/12.801672

10 October 2008 An approach to change detection in time series of SAR images based on multitemporal similarity measures

F. Bovolo, L. Bruzzone

Proceedings Volume 7109, Image and Signal Processing for Remote Sensing XIV; 71090U (2008) https://doi.org/10.1117/12.801672
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

Abstract

This work deals with a novel adaptive parcel-based method for change detection in long time series of SAR images. The proposed technique considers two temporal series of SAR images acquired over the same geographical area in different periods and is based on the following 3 steps: a) adaptive modeling of the geometry of multitemporal SAR sequences according to the generation of spatio-temporal homogeneous regions (i.e., spatio-temporal parcels); b) comparison of series according to a parcel-based similarity measure (e.g., the Kullback-Leibler distance); and c) change-detection map generation according to thresholding. Parcels result in a proper modeling of complex spatial-temporal phenomena in the scene as well as borders and details of the changed areas. The use of similarity measures between long temporal series allows one capturing the complexity of multitemporal data involving statistics of different order. Experiments carried out on two sequences of ERS-1/ERS-2 SAR data confirmed the effectiveness of the proposed approach.

Citation Download Citation

F. Bovolo and L. Bruzzone "An approach to change detection in time series of SAR images based on multitemporal similarity measures", Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 71090U (10 October 2008); https://doi.org/10.1117/12.801672

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