遥感影像检索技术的分析与实现—基于颜色和光谱特征的遥感影像检索-analysis and implementation of remote sensing image retrieval technology - remote sensing image retrieval based on color and spectral characteristics.docxVIP

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遥感影像检索技术的分析与实现—基于颜色和光谱特征的遥感影像检索-analysis and implementation of remote sensing image retrieval technology - remote sensing image retrieval based on color and spectral characteristics.docx

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遥感影像检索技术的分析与实现—基于颜色和光谱特征的遥感影像检索-analysis and implementation of remote sensing image retrieval technology - remote sensing image retrieval based on color and spectral characteristics

RESEARCH ON RE孔10TE SENSING lMAGE RETRIEVAL一-REMOTE SENSING lMAGE RET阳EVAL BASED ONCOLOR AND SPECTRAL FEATURESABSTRACTWith the rapid development of contempor缸y technology，especially for the techniques of remote sensing data acquisìtion and the great progress of network ， it has received vast amounts of image data since decades; However，choosingsome images you are interested from a large number of remote sensing images collect or database，has become a very tedious thing. The common image query methods，at present ，mainly depend on the text retrieval，which is an extremely mature search approach. Actually，this manner that adds the text labels for images，which is maybe verγambiguous ，cannot meet the needs of the people inimage retrieval. Indeed，a new search method should be carried out urgently.Content-based Image Retrieval (CBIR) is a quite dynamic way currently，the kinds of retrieval methods has been developed from the initial pixel-pixel type of the raw data retrievaI ，to the current feature-based image retrieval，which isIII-)、.太原理工大学硕士研究生学位论文increasing popular queries research nowadays ，and the highest level of CBIR， seroantic-based image retrieval ，is so exciting and looking forward to. ln this paper，it is involved in the method ofthe feature-based level.This stage ofimage retrieval related to the essence of the image，which is the reason why an image isdifferent from other images. There are several original properties or fundamental characterístics: such as color histogram ，brightness ，shape factor，textur e feature， spatial 仕equency spectrum graph and so on. With the help of these feature vectors，íroage retrieval can be coropleted effectively on the basis of images visual information processing and analysis 台om the low level to hígh.Content-based image retrieval method has good retrieval performance ，andCBIR is the fu阳re direction of development of image retrieval.As one kind bf raster image data，remote sensíng image has the same proper