Sub-pixel matching data of environmental remote sensing in the monitoring of natural resources

D. V. Fetisov; A. N. Kolesenkov; T. A. Fetisova; V. V. Strotov

doi:10.1117/12.2532563

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4 October 2019 Sub-pixel matching data of environmental remote sensing in the monitoring of natural resources

D. V. Fetisov, A. N. Kolesenkov, T. A. Fetisova, V. V. Strotov

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Proceedings Volume 11156, Earth Resources and Environmental Remote Sensing/GIS Applications X; 111561D (2019) https://doi.org/10.1117/12.2532563
Event: SPIE Remote Sensing, 2019, Strasbourg, France

Abstract

This paper presents a one-dimensional scanning algorithm that allows improving the quality of images that were using aerial photography to monitor minerals and the state of the subsurface. Also, a software module was developed that implements the presented algorithm, the main advantages of which are the simplicity of the mathematical apparatus, the required number of low-resolution images, equal to two, to obtain a high-resolution image, and resistance to interference and noise.

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D. V. Fetisov, A. N. Kolesenkov, T. A. Fetisova, and V. V. Strotov "Sub-pixel matching data of environmental remote sensing in the monitoring of natural resources", Proc. SPIE 11156, Earth Resources and Environmental Remote Sensing/GIS Applications X, 111561D (4 October 2019); https://doi.org/10.1117/12.2532563

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