01. Research and proposal of the set of indicators for evaluating the quality of high-resolution and ultra-high resolution optical remote sensing images

Giang Đặng Trường, Hưng Lê Quốc, Lâm Lê Thị Huệ , Yên Nguyễn Thị Mai

Abstract

The process of producing high-resolution and ultra-high-resolution optical remote sensing images for users is specified in the Circular 10/2015/TT-BTNMT of Ministry of Natural Resources and Environment dated March 25, 2015. However, the Circular has not specified criteria for spectral processing and image quality enhancement. Therefore, based on evaluating image pre-processing methods applied in developed countries, this study proposed a set of indicators for evaluating the quality of high-resolution and ultra-high resolution optical remote sensing images. The US National Imagery Interpretability Rating Scale (NIIRS) system was studied and converted in accordance with Vietnamese regulations regarding image processing

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References

[1]. Anders E. Boberg (1992). Subjective vs objective image quality. ISPRS Archives - Volume XXIX Part B1, XVIIth ISPRS Congress Technical Commission I: Primary Data Acquisition.
[2]. Erdman, C., K. Riehi, L. Maver, J. Leachtenauer, E. Mohr, J. Irvine, J. Odenweller, R. Simmons, and D. Hothem (1994). Quantifying Multispectral Image Interpretability. Proceedings of the International Symposium on Spectral Sensing Research.
[3]. Fonseca, L., Namikawa, L., Castejon, E., (2011). Image Fusion for Remote Sensing Applications. InTech.
[4]. Greer, J.D. and J. Caylor (1992). Development of an Environmental Image Interpretability Rating Scale. SPIE Vol. 1763 Airborne Reconnaissance XVL, 151 - 157.
[5]. Hothem, D., J.M. Irvine, E. Mohr, K.B. Buckley (1996). Quantifying Image Interpretabifity For Civil Users. Proceedings of the American Society of Photogrammetry and Remote Sensing Annual Meetings.
[6]. Leachtenauer, Jon C (1996). National Imagery Interpretability Rating Scales Overview and Product Description. ASPRS/ACSM Annual Convention & Exposition Technical Papers. Bethesda: ASPRS/ACSM, 1:262 - 272.
[7]. Maver, L.M., C.D. Erdman, K. Riehi (1995). Imagery Interpretability Ratings Scales. Presented to the Society for Information Display.
[8]. Mattia Crespi, Laura De Vendictis (2009). A Procedure for High Resolution Satellite Imagery Quality Assessment. Sensors, 9, 3289 - 3313; doi:10.3390/s90503289.
[10]. Ralf Reulke, Thomas Säuberlich (2014). Image quality of optical remote sensing data. Proceedings Volume 9250, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing II; 92500L. https://doi.org/10.1117/12.2068538.
[11]. Rafal. K. Mantiuk; Anna Tomaszewska; Radosław Mantiuk (1981). Comparison of four subjective methods for image quality assessment. COMPUTER GRAPHICS forum. Volume 0, Number 0 pp. 1 - 13.
[12]. Xichen Yang, Quansen Sun, Tianshu Wang (2017). An usability-based subjective remote sensing image quality assessment database. Signal, Image and Video Processing volume 11, pages 697 - 704.
[13]. Civil NIIRS Reference Guide USA (1996). The Imagery Resolution Assessments and Reporting Standards (IRARS) Committee.
[14]. Wald, L., Ranchin, T., Mangolini, M., (1997b). Fusion of satellite images of different spatial resolutions: assessing the quality of resulting images. Photogramm. Eng. Remote Sensing, 691 - 699.

Authors

Giang Đặng Trường
longriver8x@gmail.com (Primary Contact)
Hưng Lê Quốc
Lâm Lê Thị Huệ
Yên Nguyễn Thị Mai
Đặng Trường, G., Lê Quốc, H., Lê Thị Huệ , L., & Nguyễn Thị Mai, Y. (2021). 01. Research and proposal of the set of indicators for evaluating the quality of high-resolution and ultra-high resolution optical remote sensing images. Science Journal of Natural Resources and Environment, (36), 3–14. Retrieved from https://tapchikhtnmt.hunre.edu.vn/index.php/tapchikhtnmt/article/view/324
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