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Statistical Assessment of Accuracy and Precision in Satellite Spatial Quality Measurement Using Natural Edge Targets from KOMPSAT-3A.

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Title: Statistical Assessment of Accuracy and Precision in Satellite Spatial Quality Measurement Using Natural Edge Targets from KOMPSAT-3A.
Authors: Lee, DongHan1 (AUTHOR) dhlee@kari.re.kr, Yoo, Daehoon1 (AUTHOR)
Source: Remote Sensing. Mar2026, Vol. 18 Issue 5, p836. 17p.
Subjects: Statistical accuracy, Artificial satellites, Remote-sensing images, Remote sensing, Statistics
Abstract: Highlights: What are the main findings? Optical satellite spatial quality measurements (RER, HFWHM, MTF50, and MTFA) using Natural edge targets. Statistical quantitative accuracy and precision of them. What are the implications of the main findings? Natural edge targets can effectively replace ground-based artificial edge targets. Accurate spatial quality measurement in one day. The spatial quality (RER, FWHM, MTF50, and MTFA) of an on-orbit high-resolution Earth observation satellite was statistically assessed using edges extracted from natural targets in urban imagery, rather than from a ground-based artificial edge target (Edge target). A total of 8414 edge patches were automatically extracted from Natural Targets (NT) in 24 images acquired over 11 cities worldwide by KOMPSAT-3A. The spatial quality results derived from NT edges were compared with those obtained from an Edge target in terms of accuracy and precision. The averaged spatial quality values were nearly identical between the two approaches. However, the coefficient of variation (CV), used to quantify precision, was approximately two times higher for NT edges. Despite this lower precision, NT-based assessment provides substantial operational advantages. While 549 Edge target acquisitions over eight years yielded only 1098 usable edge images, a single acquisition over Las Vegas produced 366 NT edge images. These findings indicate that statistically reliable spatial quality estimates with comparable accuracy can be achieved within a single day using abundant NT edges, without the need to construct and maintain dedicated Edge targets. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Statistical Assessment of Accuracy and Precision in Satellite Spatial Quality Measurement Using Natural Edge Targets from KOMPSAT-3A.
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  Data: <searchLink fieldCode="AR" term="%22Lee%2C+DongHan%22">Lee, DongHan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dhlee@kari.re.kr</i><br /><searchLink fieldCode="AR" term="%22Yoo%2C+Daehoon%22">Yoo, Daehoon</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Mar2026, Vol. 18 Issue 5, p836. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Statistical+accuracy%22">Statistical accuracy</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+satellites%22">Artificial satellites</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: What are the main findings? Optical satellite spatial quality measurements (RER, HFWHM, MTF50, and MTFA) using Natural edge targets. Statistical quantitative accuracy and precision of them. What are the implications of the main findings? Natural edge targets can effectively replace ground-based artificial edge targets. Accurate spatial quality measurement in one day. The spatial quality (RER, FWHM, MTF50, and MTFA) of an on-orbit high-resolution Earth observation satellite was statistically assessed using edges extracted from natural targets in urban imagery, rather than from a ground-based artificial edge target (Edge target). A total of 8414 edge patches were automatically extracted from Natural Targets (NT) in 24 images acquired over 11 cities worldwide by KOMPSAT-3A. The spatial quality results derived from NT edges were compared with those obtained from an Edge target in terms of accuracy and precision. The averaged spatial quality values were nearly identical between the two approaches. However, the coefficient of variation (CV), used to quantify precision, was approximately two times higher for NT edges. Despite this lower precision, NT-based assessment provides substantial operational advantages. While 549 Edge target acquisitions over eight years yielded only 1098 usable edge images, a single acquisition over Las Vegas produced 366 NT edge images. These findings indicate that statistically reliable spatial quality estimates with comparable accuracy can be achieved within a single day using abundant NT edges, without the need to construct and maintain dedicated Edge targets. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/rs18050836
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Artificial satellites
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      – SubjectFull: Remote-sensing images
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        Type: general
      – SubjectFull: Statistics
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      – TitleFull: Statistical Assessment of Accuracy and Precision in Satellite Spatial Quality Measurement Using Natural Edge Targets from KOMPSAT-3A.
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              M: 03
              Text: Mar2026
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              Y: 2026
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