Paper
6 September 2017 Quality enhancement of satellite images and its application for identification of surroundings of waste disposal sites
Author Affiliations +
Proceedings Volume 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017); 104441N (2017) https://doi.org/10.1117/12.2277309
Event: Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 2017, Paphos, Cyprus
Abstract
The paper proposes a method for fuzzy interactive enhancement of objects identification in the image which allows identifying hidden or no defined details and objects in the images. The application of the method and its difference from other image enhancement techniques are shown. The paper presents the algorithm and describes the basic processing procedures (sampling, scaling, convolution, contrast). The main processing parameters (increasing and reduction of dimensions, convolutions, brightness, and thresholds contrast) are demonstrated. The results from the applied algorithm are explained on an example related to landfill Kutchino in the Moscow region, on the satellite images with low and high spatial resolution.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrey Richter, Maretta Kazaryan, Mihail Shakhramanyan, Roumen Nedkov, Denitsa Borisova, Nataliya Stankova, Iva Ivanova, and Mariana Zaharinova "Quality enhancement of satellite images and its application for identification of surroundings of waste disposal sites", Proc. SPIE 10444, Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017), 104441N (6 September 2017); https://doi.org/10.1117/12.2277309
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Cited by 1 scholarly publication.
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KEYWORDS
Earth observing sensors

Satellite imaging

Satellites

Image quality

Pattern recognition

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