Abstract
Cloud detection is absolutely necessary for satellite remote sensing data processing, because cloud is a large obstacle to remote sensing image analysis all the while. In order to promote the quantitative application of HJ-1B satellite imagery, in this paper, a new algorithm of cloud detection has been proposed based on anomalous information extraction. Using this method to remove cloud pixels form image and estimating the result of the experiment, the accuracy of cloud pixels is approximately 93%, which shows that this method is efficient in detecting the cloud-contaminate pixels. It not only lays a good foundation for the cloud removing, but also can improve the precision of remote sensing image classification and inverse in this study.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Jie, H., Li, L., Leiku, Y., Yujuan, X., Tao, Y., Yuan, S. (2012). A New Cloud Detection Algorithm for HJ-1B Images. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_85
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DOI: https://doi.org/10.1007/978-3-642-25792-6_85
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