Correction of False Topographic Perception Phenomenon Based on Topographic Correction in Satellite Imagery.

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Title: Correction of False Topographic Perception Phenomenon Based on Topographic Correction in Satellite Imagery.
Authors: Zhu, Xinyu1, Sun, Mingwei2, Wang, Shugen2, Yu, Lei2, Chen, Qi2, Wang, Yue2
Source: IEEE Transactions on Geoscience & Remote Sensing. Jan2017, Vol. 55 Issue 1, p468-476. 9p.
Subjects: Topographical surveying, Spectral imaging, Spatial analysis (Statistics), Remote-sensing images, Digital elevation models
Abstract: Most sun-synchronous satellites acquire images when the illumination source is located in the southeast direction, which is contrary to human visual habits. Therefore, when observing such images, the false topographic perception phenomenon (FTPP) occurs, particularly in large-relief regions. FTPP should be corrected because it may induce misunderstandings of terrain features, thus affecting related decision making. Unlike most existing algorithms, an automatic algorithm focusing on altering the illumination direction is proposed on the basis of topographic correction. The purpose of the algorithm is to alter the illumination direction from SE to northwest. The original and FTPP-corrected images can be quantitatively connected by establishing the relationship between these two images after topographic correction by using the C model such that the formula for calculating the DN (Digital Number) value of the FTPP-corrected image can be derived. An online survey of 323 volunteers using two sets of test data demonstrates that the success rate of the topographic-correction-based approach is as high as 85%. In comparative trials, the proposed approach displays a relatively strong ability to preserve the spatial details and the spectral characteristics of the original image. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Transactions on Geoscience & Remote Sensing is the property of IEEE 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: Correction of False Topographic Perception Phenomenon Based on Topographic Correction in Satellite Imagery.
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  Data: <searchLink fieldCode="DE" term="%22Topographical+surveying%22">Topographical surveying</searchLink><br /><searchLink fieldCode="DE" term="%22Spectral+imaging%22">Spectral imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+analysis+%28Statistics%29%22">Spatial analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+elevation+models%22">Digital elevation models</searchLink>
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  Data: Most sun-synchronous satellites acquire images when the illumination source is located in the southeast direction, which is contrary to human visual habits. Therefore, when observing such images, the false topographic perception phenomenon (FTPP) occurs, particularly in large-relief regions. FTPP should be corrected because it may induce misunderstandings of terrain features, thus affecting related decision making. Unlike most existing algorithms, an automatic algorithm focusing on altering the illumination direction is proposed on the basis of topographic correction. The purpose of the algorithm is to alter the illumination direction from SE to northwest. The original and FTPP-corrected images can be quantitatively connected by establishing the relationship between these two images after topographic correction by using the C model such that the formula for calculating the DN (Digital Number) value of the FTPP-corrected image can be derived. An online survey of 323 volunteers using two sets of test data demonstrates that the success rate of the topographic-correction-based approach is as high as 85%. In comparative trials, the proposed approach displays a relatively strong ability to preserve the spatial details and the spectral characteristics of the original image. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of IEEE Transactions on Geoscience & Remote Sensing is the property of IEEE 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: 10.1109/TGRS.2016.2608980
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        Text: English
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      – SubjectFull: Topographical surveying
        Type: general
      – SubjectFull: Spectral imaging
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      – SubjectFull: Spatial analysis (Statistics)
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      – SubjectFull: Remote-sensing images
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      – SubjectFull: Digital elevation models
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      – TitleFull: Correction of False Topographic Perception Phenomenon Based on Topographic Correction in Satellite Imagery.
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            NameFull: Zhu, Xinyu
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            NameFull: Sun, Mingwei
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              Text: Jan2017
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