Translator Disclaimer
Paper
4 October 2019 Sub-pixel matching data of environmental remote sensing in the monitoring of natural resources
Author Affiliations +
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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
6 PAGES


SHARE
Advertisement
Advertisement
Back to Top