• Korean Journal of Remote Sensing
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• v.40 no.3
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• pp.317-317
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• 2024

Notice: This article has been retracted as a result of the review (on May 14, 2024) by the Research Ethics Committee of the Korean Society of Remote Sensing, which confirmed research misconduct (plagiarism). The Korean Journal of Remote Sensing (KJRS) Editorial Office received a report alleging plagiarism in a paper published in KJRS authored by Zong and Kohani (2021). Following a thorough investigation by our Research Ethics Committee, we found significant similarities between the original paper (Lee and Mortari, 2017) and the paper (Zong and Kohani, 2021) published in KJRS. The scope of the plagiarism included a number of identical figures, tables, and equations, as well as textual content. As a result, the Research Ethics Committee of the Korean Society of Remote Sensing has decided to retract the paper (Zong and Kohani. 2021) for deliberately using the ideas, research content, and results of others without proper approval or citation. To preserve academic integrity, we take responsibility for enforcing ethical policies and proceeding with the follow-up actions: 1. Disclosure and preservation of the facts and reasons for the retraction of the plagiarized paper, 2. Prohibition of submissions for the next three years for the authors of the plagiarized paper, 3. Notification to the authors’ affiliated institution of the retraction of the plagiarized paper. We deeply regret to report for retraction of the article and apologize to the readers of KJRS and to the authors of the original work for any inconvenience caused.

• Proceedings of the KSRS Conference
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• v.1
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• pp.38-38
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• 2006

• 한국지구과학회:학술대회논문집
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• 2005.02a
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• pp.174-175
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• 2005

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.940-942
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• 2003

In an attempt to enhance the visual effect of SPOT image, this study develops a neural network algorithm to transform SPOT false color into simulated true color. The method has been tested using Landsat TM and SPOT images. The qualitative and quantitative comparisons indicate that the striking similarity can be found between the true and simulated true images in terms of the visual looks and the statistical analysis.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1386-1388
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• 2003

This paper analyzes the advantage of the XML, and studies the simple feature object model and Geography Markup Language that proposed by the Open GIS Consortium (OGC). We discussed the means of encoding the geographical data based on XML.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1127-1127
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• 2003

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.606-608
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• 2003

This paper investigates the accuracy of three-dimensional positioning for EROS A stereo pairs when different numbers of ground control points are employed. The major works of the proposed schemes include: (1) initialization of orientation parameters (2) preliminary orbit fitting, (3) orbit refinement using the least squares filtering technique, and (4) space intersection. The experiment includes validation of positioning accuracy for an EROS A in-track stereo pair when different number of check points are employed.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.690-690
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• 2003

The purpose of this study is to analyze the geological environment changes of tidal flat in the Hampyeong Bay. Especially, it centers on the changes in the sedimentary environment using remote sensing data. Multi-temporal Landsat data were used in this study. Remote sensing methods can be effectively applied for quantitative analysis of geological environment changes in tidal flat.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.582-584
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• 2003

This paper explores two such indexes----the Aerosol Free Vegetation Index (AFRI) and the Atmospherically Resistant Vegetation Index (ARVI). Comparisons were made with the NDVI (normalized vegetation index) to see if they indeed performed better. In general, the results showed that the AFRI and ARVI (with gamma=1) did indeed perform better than their NDVI counterpart study with the related channels were employed.

• Korean Journal of Remote Sensing
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• v.21 no.1
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• pp.59-72
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• 2005

Interferometric synthetic aperture radar (InSAR) is a remote sensing technique capable of measuring ground surface deformation with sub-centimeter precision and spatial resolution in tens-of­meters over a large region. This paper describes basics of InSAR and highlights our studies of Alaskan volcanoes with InSAR images acquired from European ERS-l and ERS-2, Canadian Radarsat-l, and Japanese JERS-l satellites.