Paper
30 October 1997 Environmental data compression issues
Andrew G. Tescher, John T. Reagan, John A. Saghri, Keith D. Hutchison, Dave Paul, Phillip C. Topping
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Abstract
The impact of lossy compression was considered for transmission of environmental image data. In the investigated implementation scenarios, it was found that compression at rates approaching 16:1 has minor impact on the exploitation and assessment of the ultimate derived automated cloud analysis, due to the robustness of this algorithm. Additional work is needed to evaluate the impact of compression on other products, such as sea surface temperature. The implementation included high dynamic range satellite imagery.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew G. Tescher, John T. Reagan, John A. Saghri, Keith D. Hutchison, Dave Paul, and Phillip C. Topping "Environmental data compression issues", Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); https://doi.org/10.1117/12.292765
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Cited by 5 scholarly publications.
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KEYWORDS
Data compression

Image compression

Algorithm development

Clouds

Earth observing sensors

High dynamic range imaging

Image transmission

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