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

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

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.

Citation Download Citation

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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