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

8 引文 斯高帕斯(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/地區Viet Nam
城市Ha Noi
期間05-11-0705-11-11

All Science Journal Classification (ASJC) codes

  • 航空工程

指紋

深入研究「Desriping hyperion imagery using spline interpolation」主題。共同形成了獨特的指紋。

引用此