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:10.1117/12.2571463

20 September 2020 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 11534, Earth Resources and Environmental Remote Sensing/GIS Applications XI; 1153406 (2020) https://doi.org/10.1117/12.2571463
Event: SPIE Remote Sensing, 2020, Online Only

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.

Conference Presentation

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 11534, Earth Resources and Environmental Remote Sensing/GIS Applications XI, 1153406 (20 September 2020); https://doi.org/10.1117/12.2571463

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