Mr. Kyongson Jhon Profile

Kyongson Jhon

at Northeast Normal Univ

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 | 6 December 2023

Variational pansharpening based on high-pass injection fidelity with local dual-scale coefficient estimation

Lingxin GongYe, Kyongson Jon, Jianhua Guo

JARS, Vol. 17, Issue 04, 046510, (December 2023) https://doi.org/10.1117/12.10.1117/1.JRS.17.046510

KEYWORDS: Satellites, Satellite imaging, Visualization, Spatial resolution, Principal component analysis, Earth observing sensors, Distortion, Modulation transfer functions, Education and training, Matrices

Read Abstract +

Pansharpening is proposed to fuse a high spatial resolution panchromatic (PAN) image and a low spatial resolution multispectral image to generate a high resolution multispectral (HRMS) image with both high spatial resolution and high spectral resolution. Many previous studies have focused only on the global or local relationship between PAN and the corresponding HRMS images in the intensity or gradient domains. However, we observe that the relationship between PAN and HRMS images can be better explored in the high-pass domain through adaptive coefficients. We propose high-pass injection fidelity (HPIF) with adaptive local dual-scale coefficient (LDSC) estimation, which can adequately model the complex relationship between PAN and HRMS images in the high-pass domain and efficiently preserve spatial details. In addition, we propose a new spectral correction term to assist HPIF in avoiding spectral distortion. Specifically, we first compute corresponding LDSC from every input, and then the LDSC assists HPIF to extract spatial and spectral information. Finally, we add a total variation term to assist our proposed HPIF and spectral correction terms, which together make the final pansharpening model. We optimize our model by an alternating direction method of multipliers-based algorithm. Through comparative experiments with existing state-of-the-art pansharpening methods on QuickBird, GaoFen, and WorldView, we demonstrate the superiority of our proposed method in terms of both quantitative metrics and subjective visual effects.

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