Change detection in multitemporal synthetic aperture radar images using dual-channel convolutional neural network

Tao Liu; Ying Li; Ying Cao; Qiang Shen

doi:10.1117/1.JRS.11.042615

12 October 2017 Change detection in multitemporal synthetic aperture radar images using dual-channel convolutional neural network

Tao Liu, Ying Li, Ying Cao, Qiang Shen

Author Affiliations +

Funded by: National Key Research and Development Program of China, Foundation Project for Advanced Research Field, Shannxi International Scientific and Technological Cooperation Project

Journal of Applied Remote Sensing, Vol. 11, Issue 4, 042615 (October 2017). https://doi.org/10.1117/1.JRS.11.042615

Abstract

This paper proposes a model of dual-channel convolutional neural network (CNN) that is designed for change detection in SAR images, in an effort to acquire higher detection accuracy and lower misclassification rate. This network model contains two parallel CNN channels, which can extract deep features from two multitemporal SAR images. For comparison and validation, the proposed method is tested along with other change detection algorithms on both simulated SAR images and real-world SAR images captured by different sensors. The experimental results demonstrate that the presented method outperforms the state-of-the-art techniques by a considerable margin.

Citation Download Citation

Tao Liu, Ying Li, Ying Cao, and Qiang Shen "Change detection in multitemporal synthetic aperture radar images using dual-channel convolutional neural network," Journal of Applied Remote Sensing 11(4), 042615 (12 October 2017). https://doi.org/10.1117/1.JRS.11.042615

Received: 31 March 2017; Accepted: 22 September 2017; Published: 12 October 2017

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