RADIOMETRIC CALIBRATION OF A MULTISPECTRAL CAMERA

被引：1

作者：

Mansouri, A. ^{[1
]}

Sanchez, M. ^{[1
]}

Marzani, F. S. ^{[1
]}

Gouton, P. ^{[1
]}

机构：

[1] Univ Burgundy, UFR Sc & Tech, CNRS, UMR 5158,LE2I, BP 47870, F-21078 Dijon, France

来源：

COMPUTER VISION AND GRAPHICS (ICCVG 2004) | 2006年 / 32卷

关键词：

Multispectral camera; radiometric calibration; systematic noise reducton; Flat-Field acquisition;

D O I：

10.1007/1-4020-4179-9_39

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe in detail a method for calibrating a multispectral imaging system based on interference filters. The calibration aims to remove systematic noises introduced by the sensor, and optic and/or filters from multispectral images. After which, we can correct the non-linearity of the sensor response. Systematic noises are measured through a rigorous protocol for acquiring offset, and thermal, and Flat-Field images. The methods for acquiring Flat-Field image, and linearizing sensor response are novel and particularly efficient in the case of a multispectral imaging system. Indeed, in such a system, the reconstruction of a spectrum for each pixel comes from the set of values taken by this pixel along the sequence of channel-images. This is an inverse problem requiring data of high accuracy, that is why the system must be well-calibrated.

引用

页码：273 / 278

页数：6

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