Mr. Yi Yang Profile

Yi Yang

at Chinese Academy of Surveying and Mapping

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

SPIE Journal Paper | 24 December 2024

Cross-layer hybrid feature aggregation network for change detection in very high-resolution remote sensing images

Shaopeng Ding, Xiushan Lu, Rufei Liu, Yi Yang, Haiyan Gu, Haitao Li

JARS, Vol. 19, Issue 01, 016504, (December 2024) https://doi.org/10.1117/12.10.1117/1.JRS.19.016504

KEYWORDS: Feature extraction, Feature fusion, Transformers, Convolution, Semantics, Remote sensing, Buildings, Visualization, Environmental sensing, Data modeling

Read Abstract +

Very high-resolution remote sensing images are used to detect the changes with finer results. Accompanying with plenty of details, the environment around targets also becomes more complex, which poses challenges for change detection. In recent years, hybrid methods based on transformer and CNN have been widely used. The two methods usually are adopted to extract the change information because they can take advantage of global semantic relations and long-range spatial dependencies at the same time. However, within some complex environments, there is still information loss and inaccurate detection because the features cannot be fully integrated. We proposed a new cross-level hybrid feature aggregation network for change detection to improve the performance of change detection, especially within a complex environment. Within the new network, a parallel hybrid CNN-Transformer structure is adopted to model globally and locally, which extracts the features of different levels and produces rich semantic features. Meanwhile, the multi-branch feature interaction is used to implement interaction and fusion for multiscale feature information. Furthermore, multiscale feature aggregation was applied to remove redundancy. Subsequently, CNN-Transformer change feature enhancement is used to enhance the representation. Compared with several state-of-the-art methods on three available datasets, the accuracy is increased by 0.09%, 1.12%, and 2.62%, respectively. The experiments indicate that the method proposed in this paper detects the changed targets as continuous and complete objects with clear edges. Within a complex environment, it suppresses pseudo-changes and extracts more small changed targets.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years