Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

The Quality Evaluation Method Research on Cloud Cover Image Based on Statistical Analysis

Authors
Yanjie Wang, Jianjun Zhou, Li Jia
Corresponding Author
Yanjie Wang
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.201How to use a DOI?
Keywords
Cloud cover; Image quality evaluation; Statistical model; Geometry dimensions; Angular second moment
Abstract
Cloud cover is a key factor which affects the quality of aerial and remote sensing image. In order to precisely evaluate the impact which brought by cloud cover, article constructs a cloud detection algorithm which suits for aerial image according to cloud statistical characters; analyzing the cloud region, and building a model on the basis of the image quality comprehensive assessment of the thick cloud, thin cloud, possible cloud and cloudless region; at last, utilizing experts’ subjective guidance to improve the evaluation model. The algorithm can efficiently and precisely evaluate the aerial cloud cover image on the account massive test data.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmcce-15.2015.201How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanjie Wang
AU  - Jianjun Zhou
AU  - Li Jia
PY  - 2015/12
DA  - 2015/12
TI  - The Quality Evaluation Method Research on Cloud Cover Image Based on Statistical Analysis
BT  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.201
DO  - https://doi.org/10.2991/icmmcce-15.2015.201
ID  - Wang2015/12
ER  -