6533b82efe1ef96bd129304b

RESEARCH PRODUCT

RADIOMETRIC CALIBRATION OF A MULTISPECTRAL CAMERA

Pierre GoutonAlamin MansouriM. SanchezFranck Marzani

subject

Offset (computer science)Pixelbusiness.industryComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInverse problemMultispectral pattern recognitionComputer Science::Computer Vision and Pattern RecognitionCalibrationComputer visionArtificial intelligencebusinessRadiometric calibrationRemote sensing

description

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.

yearjournalcountryeditionlanguage
2006-03-10
https://doi.org/10.1007/1-4020-4179-9_39