Desriping hyperion imagery using spline interpolation

Fuan Tsai, Shi Qi Lin, Jiann-Yeou Rau, Liang Chien Chen, Gen Rong Liu

研究成果: Conference contribution

6 引文 (Scopus)

摘要

This paper presents an alternative approach for removing striping patterns of Hyperion hyperspectral imagery. In this study, a cubic spline-based curve-fitting algorithm was used to estimate gray values of striping pixels in an image. The idea is to treat each line of a Hyperion image as a piece-wise spline curve in each spectral band. After identifying pixels affected by the striping noises, the noise-free pixels are collected and used as samples to construct a cubic Hermite spline curve that passes all of the control points (samples). The original gray values of striping covered pixels can then be approximated from the spline curve. Applying this procedure to an image line by line or column by column, a striping-free image can be reconstructed accordingly.

原文English
主出版物標題Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
頁面795-800
頁數6
出版狀態Published - 2005 十二月 1
事件26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC - Ha Noi, Viet Nam
持續時間: 2005 十一月 72005 十一月 11

出版系列

名字Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
2

Other

Other26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC
國家Viet Nam
城市Ha Noi
期間05-11-0705-11-11

指紋

Splines
Interpolation
Pixels
Curve fitting

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

引用此文

Tsai, F., Lin, S. Q., Rau, J-Y., Chen, L. C., & Liu, G. R. (2005). Desriping hyperion imagery using spline interpolation. 於 Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005 (頁 795-800). (Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005; 卷 2).
Tsai, Fuan ; Lin, Shi Qi ; Rau, Jiann-Yeou ; Chen, Liang Chien ; Liu, Gen Rong. / Desriping hyperion imagery using spline interpolation. Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. 2005. 頁 795-800 (Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005).
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title = "Desriping hyperion imagery using spline interpolation",
abstract = "This paper presents an alternative approach for removing striping patterns of Hyperion hyperspectral imagery. In this study, a cubic spline-based curve-fitting algorithm was used to estimate gray values of striping pixels in an image. The idea is to treat each line of a Hyperion image as a piece-wise spline curve in each spectral band. After identifying pixels affected by the striping noises, the noise-free pixels are collected and used as samples to construct a cubic Hermite spline curve that passes all of the control points (samples). The original gray values of striping covered pixels can then be approximated from the spline curve. Applying this procedure to an image line by line or column by column, a striping-free image can be reconstructed accordingly.",
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Tsai, F, Lin, SQ, Rau, J-Y, Chen, LC & Liu, GR 2005, Desriping hyperion imagery using spline interpolation. 於 Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005, 卷 2, 頁 795-800, 26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC, Ha Noi, Viet Nam, 05-11-07.

Desriping hyperion imagery using spline interpolation. / Tsai, Fuan; Lin, Shi Qi; Rau, Jiann-Yeou; Chen, Liang Chien; Liu, Gen Rong.

Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. 2005. p. 795-800 (Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005; 卷 2).

研究成果: Conference contribution

TY - GEN

T1 - Desriping hyperion imagery using spline interpolation

AU - Tsai, Fuan

AU - Lin, Shi Qi

AU - Rau, Jiann-Yeou

AU - Chen, Liang Chien

AU - Liu, Gen Rong

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N2 - This paper presents an alternative approach for removing striping patterns of Hyperion hyperspectral imagery. In this study, a cubic spline-based curve-fitting algorithm was used to estimate gray values of striping pixels in an image. The idea is to treat each line of a Hyperion image as a piece-wise spline curve in each spectral band. After identifying pixels affected by the striping noises, the noise-free pixels are collected and used as samples to construct a cubic Hermite spline curve that passes all of the control points (samples). The original gray values of striping covered pixels can then be approximated from the spline curve. Applying this procedure to an image line by line or column by column, a striping-free image can be reconstructed accordingly.

AB - This paper presents an alternative approach for removing striping patterns of Hyperion hyperspectral imagery. In this study, a cubic spline-based curve-fitting algorithm was used to estimate gray values of striping pixels in an image. The idea is to treat each line of a Hyperion image as a piece-wise spline curve in each spectral band. After identifying pixels affected by the striping noises, the noise-free pixels are collected and used as samples to construct a cubic Hermite spline curve that passes all of the control points (samples). The original gray values of striping covered pixels can then be approximated from the spline curve. Applying this procedure to an image line by line or column by column, a striping-free image can be reconstructed accordingly.

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Tsai F, Lin SQ, Rau J-Y, Chen LC, Liu GR. Desriping hyperion imagery using spline interpolation. 於 Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. 2005. p. 795-800. (Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005).