基于反射率特性的高光谱遥感图像云检测方法研究

冯书谊; 张宁; 沈霁; 叶盛; 张震

doi:10.3788/CO.20150802.0198

Volume 8 Issue 2

Apr. 2015

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Chinese Optics > 2015 > 8(2): 198-204.

FENG Shu-yi, ZHANG Ning, SHEN Ji, YE Sheng, ZHANG Zhen. Method of cloud detection with hyperspectral remote sensing image based on the reflective characteristics[J]. Chinese Optics, 2015, 8(2): 198-204. doi: 10.3788/CO.20150802.0198

Citation:

FENG Shu-yi, ZHANG Ning, SHEN Ji, YE Sheng, ZHANG Zhen. Method of cloud detection with hyperspectral remote sensing image based on the reflective characteristics[J]. Chinese Optics, 2015, 8(2): 198-204. doi: 10.3788/CO.20150802.0198

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Method of cloud detection with hyperspectral remote sensing image based on the reflective characteristics

doi: 10.3788/CO.20150802.0198

Shanghai Aerospace Electronic Technology Institute,Shanghai 201109,China

Received Date: 19 Nov 2014
Accepted Date: 17 Jan 2015
Publish Date: 25 Apr 2015

Abstract

Abstract

To improve the effectiveness of remote-sensing image data, a cloud detection method based on the reflectivity of hyperspectral remote image is proposed. According to the characteristic of the reflectivity between different earth background, image data of five specific wavelengths are chosen, then high-cloud area and low-cloud are determined by judging the threshold of different spectrum. The object cloud area can be obtained by combining the high-cloud and low-cloud areas. The experiment result indicates that the accuracy of cloud detection is more than 90%, while false alarm ratio is less than 1%, which proves that the cloud area can be accurately identified from multiple types of earth background.
- hyperspectral,
- remote sensing image,
- cloud-detection,
- reflectivity

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References(15)

References

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