Statistical Linear Destriping of Satellite-Based Pushbroom-Type Images

被引：105

作者：

Carfantan, Herve ^{[1
]}

Idier, Jerome ^{[2
]}

机构：

[1] Univ Toulouse, CNRS, Lab Astrophys Toulouse Tarbes, F-31400 Toulouse, France

[2] Ecole Cent Nantes, Inst Rech Commun & Cybernet Nantes, F-44321 Nantes 3, France

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2010年 / 48卷 / 04期

关键词：

Calibration; estimation; gain measurement; image restoration; image sensors; radiometry; STRIPING REMOVAL; NOISE; REDUCTION; CONVERGENCE; ALGORITHM;

D O I：

10.1109/TGRS.2009.2033587

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

This paper introduces a new self-calibration destriping technique for pushbroom-type satellite imaging systems. Self-calibration means that no specific training data are required. It is based on the statistical estimation of each detector gain from the observed image, assuming a linear response. Both theoretical and practical behaviors are studied. Our technique is shown to outperform simpler techniques based on column averages in terms of gain estimation precision while keeping the computational cost within admissible limits.

引用

页码：1860 / 1871

页数：12

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