Research on method of remote sensing data quality contrast among different quantization levels

DOI

10.2991/rsete.2013.176How to use a DOI?

Keywords

Remote sensing data quality, quantization level, quality contrast

Abstract

Quantization must be taken in the process of data digitization and storage. Remote sensing data use different quantization levels in the process of gathering and storage. Remote sensing data is always compared with other data to decide whether its quality is good or bad, using many quality indexes. But these quality indexes cannot be used directly when the data is compared with other data using different quantization levels. This paper analyses how data quality indexes are affected when quantization level changes, then tests and verifies the result using some experimental data, and puts forward a method remote sensing data quality contrast between different quantization levels based on conversion of quantization level.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guo Lidong
AU  - Li Guoqing
PY  - 2013/08
DA  - 2013/08
TI  - Research on method of remote sensing data quality contrast among different quantization levels
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 727
EP  - 730
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.176
DO  - 10.2991/rsete.2013.176
ID  - Lidong2013/08
ER  -