Improving the aerospace image quality using subpixel processing for the Earth's distance monitoring

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

doi:10.1117/12.2325510

9 October 2018 Improving the aerospace image quality using subpixel processing for the Earth's distance monitoring

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

Proceedings Volume 10792, High-Performance Computing in Geoscience and Remote Sensing VIII; 107920F (2018) https://doi.org/10.1117/12.2325510
Event: SPIE Remote Sensing, 2018, Berlin, Germany

Abstract

Based on the averaging principle, an algorithm for subpixel processing of an aerospace image is developed to increase spatial resolution. With it, a high-resolution image can be gotten by processing several original shots with a lower resolution. Input information is a series of aerospace images that are offset relative to one another by half a pixel. There is one generated image with increased resolution appears as the result of the processing.

Citation Download Citation

D. V. Fetisov, A. N. Kolesenkov, T. A. Fetisova, and V. V. Strotov "Improving the aerospace image quality using subpixel processing for the Earth's distance monitoring", Proc. SPIE 10792, High-Performance Computing in Geoscience and Remote Sensing VIII, 107920F (9 October 2018); https://doi.org/10.1117/12.2325510

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available