Share Email Print
cover

Proceedings Paper • new

Sub-pixel matching data of environmental remote sensing in the monitoring of natural resources
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 4 October 2019
PDF: 6 pages
Proc. SPIE 11156, Earth Resources and Environmental Remote Sensing/GIS Applications X, 111561D (4 October 2019); doi: 10.1117/12.2532563
Show Author Affiliations
D. V. Fetisov, Ryazan State Radio Engineering Univ. (Russian Federation)
A. N. Kolesenkov, Ryazan State Radio Engineering Univ. (Russian Federation)
T. A. Fetisova, Ryazan State Radio Engineering Univ. (Russian Federation)
V. V. Strotov, Ryazan State Radio Engineering Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 11156:
Earth Resources and Environmental Remote Sensing/GIS Applications X
Karsten Schulz; Ulrich Michel; Konstantinos G. Nikolakopoulos, Editor(s)

© SPIE. Terms of Use
Back to Top