Removing Cloud of Grey Remote Sensing Image Based on Network Communication

Abstract:

Remote sensing technology has rapid development in the past half one century, it is widely used in various fields and society. But the clouds have affected the quality of remote sensing data, how to effectively use the modern computer science and technology to remove the cloud is a hot issue in the field. From the theory of cloud formation in the remote sensing image, we analyze the formation mechanism, and based on this we do two layers decomposition and reconstruct the structure according to wavelet transform in network communication, and establish the image degradation model. Combining Fourier transformation, we set up the removing cloud fusion model of remote sensing image. Through the simulation experiment, the effect is significant. To a certain extent, it provides technical support for theory study and practice operation.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 3165-3169
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.3165
• Online since: February 2014
• Authors: Min Min Yue*
• Keywords: Fourier Transformation, Fusion Model, Remote Sensing Image, Wavelet Transform (WT)

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