Cloud detection from visual band of satellite image based on variance of fractal dimension

doi:10.21629/JSEE.2019.03.06

Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (3): 485-491.doi: 10.21629/JSEE.2019.03.06

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Cloud detection from visual band of satellite image based on variance of fractal dimension

Pingfang TIAN^1,^2,^3,⁴(), Qiang GUANG^1,^2,^3,⁴(), Xing LIU^1,^2,^3,^4,*()

¹ School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China
² Key Laboratory of Intelligent Information Processing and Real-Time Industrial System in Hubei Province, Wuhan 430065, China
³ Institute of Big Data Science and Engineering, Wuhan University of Science and Technology, Wuhan 430065, China
⁴ Key Laboratory of Rich-Media Knowledge Organization and Service of Digital Publishing Content, National Press and Publication Administration, Beijing 100038, China

Received:2018-01-04 Online:2019-06-01 Published:2019-07-04
Contact: Xing LIU E-mail:tianpf@ontoweb.wust.edu.cn;13163363550@163.com;liuxing1975@wust.edu.cn
About author:TIAN Pingfang was born in 1972. She received her M.S. degree from Huazhong University of Science and Technology. She is a professor in College of Computer Science and Technology at Wuhan University of Science and Technology. Her research interests include semantic web and intelligent information processing. E-mail:tianpf@ontoweb.wust.edu.cn|GUANG Qiang was born in 1993. He is currently working towards his M.S. degree in the College of Computer Science and Technology at Wuhan University of Science and Technology. His research interests include semantic web and big data. E-mail:13163363550@163.com|LIU Xing was born in 1975. She received her M.S. degree from Wuhan University of Science and Technology. She works in College of Computer Science and Technology at Wuhan University of Science and Technology. Her research interests include computer network and semantic analysis. E-mail:liuxing1975@wust.edu.cn
Supported by:
the National Natural Science Foundation of China(61702385);the Key Projects of National Social Science Foundation of China(11 & ZD189);This work was supported by the National Natural Science Foundation of China (61702385), and the Key Projects of National Social Science Foundation of China (11 & ZD189)

Abstract

Abstract:

Cover ratio of cloud is a very important factor which affects the quality of a satellite image, therefore cloud detection from satellite images is a necessary step in assessing the image quality. The study on cloud detection from the visual band of a satellite image is developed. Firstly, we consider the differences between the cloud and ground including high grey level, good continuity of grey level, area of cloud region, and the variance of local fractal dimension (VLFD) of the cloud region. A single cloud region detection method is proposed. Secondly, by introducing a reference satellite image and by comparing the variance in the dimensions corresponding to the reference and the tested images, a method that detects multiple cloud regions and determines whether or not the cloud exists in an image is described. By using several Ikonos images, the performance of the proposed method is demonstrated.

Key words: cloud detection, visual image, satellite image, variance of local fractal dimension (VLFD)

Pingfang TIAN, Qiang GUANG, Xing LIU. Cloud detection from visual band of satellite image based on variance of fractal dimension[J]. Journal of Systems Engineering and Electronics, 2019, 30(3): 485-491.

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References 28

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Method	Index
Method	Completeness	Correctness	Quality
Improved F-mask	0.601 1	0.914 9	0.584 5
Xu's method	0.685 2	0.925 9	0.660 5
The proposed method	0.712 5	0.914 5	0.698 3

Method	Index
Method	Completeness	Correctness	Quality
Improved F-mask	0.764 4	0.924 5	0.698 8
Xu's method	0.801 3	0.899 1	0.767 9
The proposed method	0.874 5	0.941 3	0.764 5

Method	Index
Method	Completeness	Correctness	Quality
Improved F-mask	0.922 4	0.784 2	0.720 1
Xu's method	0.901 5	0.801 9	0.709 1
The proposed method	0.935 8	0.816 6	0.743 8

Method	Index
Method	Completeness	Correctness	Quality
Improved F-mask	0.675 4	0.906 4	0.649 7
Xu's method	0.683 8	0.939 2	0.660 5
The proposed method	0.692 2	0.921 2	0.674 5

Method	Index
Method	Completeness	Correctness	Quality
Improved F-mask	0.801 1	0.767 2	0.740 2
Xu's method	0.875 4	0.765 3	0.764 5
The proposed method	0.901 3	0.779 7	0.774 1

Cloud detection from visual band of satellite image based on variance of fractal dimension

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