A new method of target change detection based on network in network structure

Junfeng Xu; Na Yang; Dong Lin; Shilun Kang; Yilan Lou; Jingli Jiang

doi:10.1117/12.2604619

5 October 2021 A new method of target change detection based on network in network structure

Junfeng Xu, Na Yang, Dong Lin, Shilun Kang, Yilan Lou, Jingli Jiang

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119110R (2021) https://doi.org/10.1117/12.2604619
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

A new method based on a Network in Network (NIN) structure is proposed to detect target changes from multi-temporal optical remote sensing images. Firstly, the changed areas are captured by a change detection method based on multifeature fusion, and the changed patches are obtained by morphological processing. Then, a convolutional neural network with an NIN structure is constructed to train the target recognition model using a small number of samples and to distinguish the original images corresponding to the tchanged patches. Finally, a recognition strategy combining preliminary screening and thorough screening is designed, and multiple thresholds are assigned according to the patch size to avoid the possible false detection brought by a single threshold. Based on experiments with multi-temporal airport images, the overall accuracy of aircraft target change detection using the method in this study was 91.89%, with a false alarm rate of 10.71%, indicating that this method can accurately and reliably detect target change.

Citation Download Citation

Junfeng Xu, Na Yang, Dong Lin, Shilun Kang, Yilan Lou, and Jingli Jiang "A new method of target change detection based on network in network structure", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119110R (5 October 2021); https://doi.org/10.1117/12.2604619

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