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Contented-Based Satellite Cloud Image Processing and Information Retrieval

机译:基于内容的卫星云图像处理和信息检索

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摘要

Satellite cloud image is a kind of useful image which includes abundant information, for acquired this information, the image processing and character extraction method adapt to satellite cloud image has to be used. Content-based satellite cloud image processing and information retrieval (CBIPIR) is a very important problem in image processing and analysis field. The basic character, like color, texture, edge and shape was extracted from the cloud image, and then the satellite cloud image database was provided to store the basic character information. Since traditional image retrieval method has some limitation, for realized image retrieval accurately and quickly, the CBIR method is adaptive. On the basis of the key technology of CBIPIR was studied, we could obtain the better retrieval effect, and the image retrieval result was shown in detail. The experiment result proves that the research and application of content-based satellite cloud image processing is valuable, which could improve the professional image application efficiency more.
机译:卫星云图像是一种包含大量信息的有用图像,为了获取该信息,必须使用适合于卫星云图像的图像处理和字符提取方法。基于内容的卫星云图像处理和信息检索(CBIPIR)是图像处理和分析领域中非常重要的问题。从云图像中提取颜色,纹理,边缘和形状等基本字符,然后提供卫星云图像数据库来存储基本字符信息。由于传统的图像检索方法有一定的局限性,为了准确,快速地实现图像检索,CBIR方法是自适应的。在对CBIPIR关键技术进行研究的基础上,可以获得较好的检索效果,并详细显示了图像检索结果。实验结果证明,基于内容的卫星云图像处理技术的研究和应用是有价值的,可以进一步提高专业图像的应用效率。

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