ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 5, pp. 63-75

Spectral-energy resolution of satellite spectral systems when surveying low-contrast objects

L.V. Katkovsky 1 
1 Sevchenko Institute of Applied Physical Problems of Belarusian State University, Minsk, Belarus
Accepted: 28.09.2020
DOI: 10.21046/2070-7401-2020-17-5-63-75
Evaluation of the spectral-energy resolution of a spectral or imaging system is important from the point of view of the possibility of identifying (distinguishing) objects on the Earth’s surface with very similar spectral reflection characteristics. The paper presents the calculation methodology and the results of assessing the possibilities of registering objects with similar spectral brightness coefficients, such as, for example, conifers in different stages of drying out, using the example of the Video Spectral System (VSS) operating on board the International Space Station (ISS) and the OLI sensor of the Landsat-8 satellite. Spectral-energy resolution is determined by atmospheric interference and inherent noise of the imaging system. The threshold values of spectral contrasts for the input radiation were calculated for the video spectrometer module and the image module of VSS based on the energy calculations of their optical schemes and the parameters of optoelectronic components. The proposed calculation scheme is applicable to all spectrometers and imaging systems with similar optical designs. The threshold values for the channels of the OLI sensor in units of spectral brightness at the input of the device are well known and are used directly to estimate the registration of pairs of objects with close reflection spectra. The results confirm high sensitivity of the OLI channels of the visible — NIR ranges and good sensitivity of the spectrometer and the BCC camera, which allows the possibility of distinguishing spectrally low-contrast objects with these sensors.
Keywords: spectral-energy resolution, low-contrast objects, threshold value, signal-to-noise ratio
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