A fast pansharpening method based on object-space-consistency and GPU parallel processing

Mingyuan Xu; Xueqi Zhang; Zhengyang Cai

doi:10.1117/12.3038205

7 August 2024 A fast pansharpening method based on object-space-consistency and GPU parallel processing

Mingyuan Xu, Xueqi Zhang, Zhengyang Cai

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 1322927 (2024) https://doi.org/10.1117/12.3038205
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

The fusion of panchromatic and multispectral images is a prerequisite for obtaining multispectral images with high spatial resolution (HRMS). The traditional data processing mode requires that the acquired panchromatic data and multispectral data be transmitted to the ground through the star-ground link, and then a series of correction, registration and fusion operations are conducted in order to obtain HRMS. This processing mode has low timeliness and cannot meet the demand of on-board real-time processing. To solve this problem, we perform efficient registration and fusion processing for the images containing the target region acquired in real time during satellite orbit. Specifically, we propose a fast virtualized registration method based on object-space-consistency, which is capable of obtaining accurately registered images under the premise of ensuring real-time performance. On this basis, we utilize GPU acceleration to parallelize the time-consuming steps of the traditional fusion algorithm, thereby achieving rapid fusion processing while guaranteeing the fusion performance. Through experiments on an on-board simulation system, our method has been able to achieve 15.10 times speedup compared to the traditional registration and fusion processing while guaranteeing good performance.

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

Citation Download Citation

Mingyuan Xu, Xueqi Zhang, and Zhengyang Cai "A fast pansharpening method based on object-space-consistency and GPU parallel processing", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 1322927 (7 August 2024); https://doi.org/10.1117/12.3038205

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image fusion

Image registration

Image processing

Data acquisition

Performance modeling

Data processing

Spatial resolution

Show All Keywords

Keywords/Phrases

Search In:

Publication Years