Research on building instantiation change detection method in high spatial resolution remote sensing image

Yuan Yao; Xiang Lei Liu

doi:10.1117/12.3019541

23 January 2024 Research on building instantiation change detection method in high spatial resolution remote sensing image

Yuan Yao, Xiang Lei Liu

Author Affiliations +

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129781A (2024) https://doi.org/10.1117/12.3019541
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

Remote sensing building change detection is a key technology for understanding urban land cover and land use. In order to improve the accuracy of building change detection, this paper firstly summarizes a set of optimized building change detection methods for high resolution remote sensing images, and then introduces the steps of the method and the optimization part in detail. Finally, the feasibility of the optimized change detection method was verified in the experimental area. The results of this method are verified by an empirical experiment on the urban sub-center of Tongzhou District. The results show that this method can complete the remote sensing building change detection task under the condition of setting fewer parameters and large change area.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuan Yao and Xiang Lei Liu "Research on building instantiation change detection method in high spatial resolution remote sensing image", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129781A (23 January 2024); https://doi.org/10.1117/12.3019541

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