Acta Geodaetica et Cartographica Sinica >

2015 , Vol. 44 >Issue 3: 292 - 300

DOI: https://doi.org/10.11947/j.AGCS.2015.20130384

An Automatic Cloud Detection Method for ZY-3 Satellite

  • CHEN Zhenwei ,
  • ZHANG Guo ,
  • NING Jinsheng ,
  • TANG Xinming
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  • 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    3. Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100830, China

Received date: 2013-12-19

  Revised date: 2014-10-15

  Online published: 2015-04-01

Supported by

The National Natural Science Foundation of China(No.41201361);Public Science Research Programme of Surveying,Mapping and Geoinformation(Nos.201412007;201512022)

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Abstract

Automatic cloud detection for optical satellite remote sensing images is a significant step in the production system of satellite products. For the browse images cataloged by ZY-3 satellite, the tree discriminate structure is adopted to carry out cloud detection. The image was divided into sub-images and their features were extracted to perform classification between clouds and grounds. However, due to the high complexity of clouds and surfaces and the low resolution of browse images, the traditional classification algorithms based on image features are of great limitations. In view of the problem, a prior enhancement processing to original sub-images before classification was put forward in this paper to widen the texture difference between clouds and surfaces. Afterwards, with the secondary moment and first difference of the images, the feature vectors were extended in multi-scale space, and then the cloud proportion in the image was estimated through comprehensive analysis. The presented cloud detection algorithm has already been applied to the ZY-3 application system project, and the practical experiment results indicate that this algorithm is capable of promoting the accuracy of cloud detection significantly.

Key words： cloud detection; histogram equalization; feature extraction; multi-scale

Cite this article

CHEN Zhenwei , ZHANG Guo , NING Jinsheng , TANG Xinming . An Automatic Cloud Detection Method for ZY-3 Satellite[J]. Acta Geodaetica et Cartographica Sinica, 2015 , 44(3) : 292 -300 . DOI: 10.11947/j.AGCS.2015.20130384

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