Desriping hyperion imagery using spline interpolation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAsian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
Pages795-800
Number of pages6
Publication statusPublished - 2005
Event26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC - Ha Noi, Viet Nam
Duration: 2005 Nov 72005 Nov 11

Publication series

NameAsian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
Volume2

Other

Other26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC
Country/TerritoryViet Nam
CityHa Noi
Period05-11-0705-11-11

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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