Sharpening the Sentinel-2A infrared bands via image residual optimization

Name: Yaowamal Raphiphan

Organization : Mahanakorn University of Technology. Physics Department

Email : yaowamal@mut.ac.th

Name: Suphongsa Khetkeeree

Organization : Mahanakorn University of Technology. Physics Department

Email : suphongs@mut.ac.th

Name: Sompong Liangrocapart

Organization : Mahanakorn University of Technology. Physics Department

Email : sompong@mut.ac.th

keyword: Satellite imagery

LCSH: Image processing -- Digital techniques

LCSH: Remote sensing

LCSH: Infrared imaging

LCSH: Multispectral imaging

Abstract: Due to the infrared bands, i.e., short-wave infrared (SWIR) and narrow near-infrared (narrow NIR) bands, obtained from the Sentinel-2 multispectral instrument having a lower resolution than the visible-near infrared (VNIR) bands, the capability of applications that employ infrared information is often limited by spatial resolution. To overcome this problem, we propose a method for sharpening these infrared bands. This method is based on the multiresolution analysis (MRA) method, which focuses on the image residual in the spatial domain. The sharpened image can be obtained from the combination of the low-frequency (LF) and high-frequency (HF) components. The residual image is used as the HF component, which can be estimated from the difference between the original image and its smoothing (blurring) version. Bicubic interpolation was applied to generate the LF component. The least-squares error of the image residual was employed to determine the optimal injection weight, which can be expressed in analytic form. Sentinel-2A images of Central Thailand were used to test our proposed method and then compared with conventional sharpening methods, such as Gram-Schmidt, intensity-hue-saturation (IHS), and Brovey methods. The results show that our proposed method can provide quality metrics higher than the others. Moreover, our composited infrared band image also gives a color similar to the native composite image.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2022

Modified: 2026-05-20

Issued: 2026-05-20

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BibliograpyCitation : In Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI) Association, Thailand. 2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2022) (1570795725). Bangkok : ECTI Association

eng

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