Effects of temperature variations on the performance of a space imaging system baffle

Haghshenas, Javad; Afshari, Behzad Mohasel

doi:10.1117/12.2191496

Cited by 2 publications

(3 citation statements)

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“…Our investigation considers the degrading effect of jitter vibration on the GeoEye-1 satellite images. GeoEye-1 has the following specifications [17]: The selected three images are given in Figure (2). They are as follows: Image-1 is of size (512 X 512) pixels, the area of Kauai Island, Hawaii, USA.…”

Section: Comparative Studymentioning

confidence: 99%

“…In general, RER values decrease as the influence of jitter vibration increases. Using the values of the basic parameters of the GIQE, including SNR, G, H, and RER, which are listed in tables (2)(3)(4)(5)(6)(7). applying these values in equations (2-4) are corresponding to the three different versions of the GIQE.…”

Section: Comparative Studymentioning

confidence: 99%

“…Satellite micro-vibration is a significant problem that degrades the quality of remote sensing data and hence diminishes the amount of information that can be extracted. Several attempts have been conducted to classify the satellite vibrations and to study their effect on satellite image degradation [1,2]. There are many sources of satellite vibrations like rotary mechanisms such as Reaction Wheel Assemblies, and other satellite sub-systems (propulsion, structure, thermal control, power, communication, optical lens shutter, and electrical noise) [3].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of jitter vibration-induced image interpretability degradation for remote sensing data using GIQE

Ali,

Omer,

Eltohamy

et al. 2023

J. Phys.: Conf. Ser.

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Remote sensing data plays an important role in various military and civilian applications. The quality of remote sensing data is the key to the success of these applications. remote sensing data are subjected to a variety of distortions from different sources, including acquisition, onboard compression, transmission, on-ground processing, and satellite vibrations. These distortions cause a great loss of image quality. In this paper, jitter vibration is modeled according to the modulation transfer function (MTF). Jitter-induced degradation is evaluated in terms of the National Imagery Interpretability Rating Scale (NIIRS), which is measured in terms of the general image quality equation (GIQE). A study on the third, fourth, and fifth versions of the GIQE is made using a remote sensing data set to select the appropriate version that could be used in evaluating the amount of jitter-induced degradation. The key result of this paper is that the fourth version of the GIQE is the most proper one in evaluating the amount of jitter-induced degradation.

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Section: Comparative Studymentioning

confidence: 99%