Paper
12 June 1995 Technique of combined processing for data of an imaging spectrometer and of a multispectral camera
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Abstract
The space-borne imaging spectrometers to be flown in the near future will have the spatial resolution of a few hundred meters to one kilometer. The usefulness of their data for land- oriented applications is limited due to the problem of 'mixed pixels'. A technique is proposed for 'unmixing' the data of an imaging spectrometer by combined processing of its data with the data of a high resolution multispectral camera. It allows the retrieval of the spatial distribution of classes with the resolution of the multispectral camera and their spectral signatures, with the detail of spectral measurements of the imaging spectrometer. The technique has been tested, using the data of the airborne imaging spectrometer GER-II, obtained over an agricultural area. Various resolutions of the imaging spectrometer were simulated from tens of meters to approximately 1 km. The accuaracy of the retrieved spectra proved to be a few to ten percent in most cases, even when the mean area of 'homogeneous units' was significantly smaller than the pixel area of the imaging spectrometer. The proposed approach makes it possible to use a combination of a high resolution imaging spectrometer and to combine a high resolution information of the camera with the detailed spectral information of the imaging spectrometer during data processing. The advantages of this approach are: simpler and cheaper instruments can be used, including the instruments of the currently planned missions; data fluxes are significantly reduced; the swath width can be increased.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boris Zhukov and Dieter Oertel "Technique of combined processing for data of an imaging spectrometer and of a multispectral camera", Proc. SPIE 2480, Imaging Spectrometry, (12 June 1995); https://doi.org/10.1117/12.210900
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Cited by 4 scholarly publications.
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KEYWORDS
Spectroscopy

Spatial resolution

Image resolution

Cameras

Spectral resolution

Agriculture

Clouds

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