The algorithm based on the texture of automatic cloud cover assessment

Qing Wei Ping; Gui Fen Xia; Pei Kun He

doi:10.1117/12.657838

The algorithm based on the texture of automatic cloud cover assessment

Qing Wei Ping^*, Gui Fen Xia, Pei Kun He

^*Corresponding author for this work

School of Medical and Technology

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

Abstract

If the luminance of the cloud is high, we can identify the cloud by the luminance threshold. If the variance of the cloud is high, we can identify the cloud by the frequency information. If the difference in brightness between the light and dark cloud of a picture is big, they are difficultly identified. However, this type of the cloud has an obvious edge. This paper presents a new algorithm on base of texture to identify the cloud.

Original language	English
Article number	59852V
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5985 PART I
DOIs	https://doi.org/10.1117/12.657838
Publication status	Published - 2005
Event	International Conference on Space Information Technology - Wuhan, China Duration: 19 Nov 2005 → 20 Nov 2005

Keywords

Automatic Cloud Cover Assessment (ACCA)
Self-similarity
Texture

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10.1117/12.657838

Cite this

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title = "The algorithm based on the texture of automatic cloud cover assessment",

abstract = "If the luminance of the cloud is high, we can identify the cloud by the luminance threshold. If the variance of the cloud is high, we can identify the cloud by the frequency information. If the difference in brightness between the light and dark cloud of a picture is big, they are difficultly identified. However, this type of the cloud has an obvious edge. This paper presents a new algorithm on base of texture to identify the cloud.",

keywords = "Automatic Cloud Cover Assessment (ACCA), Self-similarity, Texture",

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AU - Ping, Qing Wei

AU - Xia, Gui Fen

AU - He, Pei Kun

PY - 2005

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N2 - If the luminance of the cloud is high, we can identify the cloud by the luminance threshold. If the variance of the cloud is high, we can identify the cloud by the frequency information. If the difference in brightness between the light and dark cloud of a picture is big, they are difficultly identified. However, this type of the cloud has an obvious edge. This paper presents a new algorithm on base of texture to identify the cloud.

AB - If the luminance of the cloud is high, we can identify the cloud by the luminance threshold. If the variance of the cloud is high, we can identify the cloud by the frequency information. If the difference in brightness between the light and dark cloud of a picture is big, they are difficultly identified. However, this type of the cloud has an obvious edge. This paper presents a new algorithm on base of texture to identify the cloud.

KW - Automatic Cloud Cover Assessment (ACCA)

KW - Self-similarity

KW - Texture

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DO - 10.1117/12.657838

M3 - Conference article

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VL - 5985 PART I

JO - Proceedings of SPIE - The International Society for Optical Engineering

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M1 - 59852V

T2 - International Conference on Space Information Technology

Y2 - 19 November 2005 through 20 November 2005

ER -

The algorithm based on the texture of automatic cloud cover assessment

Abstract

Keywords

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