Destriping multisensor imagery with moment matching

被引：285

作者：

Gadallah, FL

Csillag, F

Smith, EJM

机构：

[1] Univ Toronto, Dept Geog, Toronto, ON M5S 3G3, Canada

[2] Tarkvara Design Inc, Toronto, ON M5S 1Y6, Canada

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2000年 / 21卷 / 12期

关键词：

D O I：

10.1080/01431160050030592

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Image destriping is necessary due to sensor-to-sensor variation within instruments. This has most often been done by assuming that each sensor views a statistically similar subimage, and a histogram of each sensor's response is made to match the overall histogram. Histogram matching shows sensitivity to violations of the similarity assumption. An alternative algorithm is suggested which matches the gain and offset of each sensor to typical values, and which is resistant to the effects of outliers. Tests on a sample image show the moment matching algorithm reduces the variance between sensors to a greater degree than histogram matching.

引用

页码：2505 / 2511

页数：7

共 17 条

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