二维图像的纹理提取算法提取研究论文的外文翻译.docVIP

Texture analysis and research significance Texture analysis，remote sensing，image processing of an important technology． First， texture analysis of remote sensing image analysis and interpretation needs．Remote sensing image analysis and interpretation．Spectrum is the fundamental basis for information (Gray) and Spatial Information (texture and shape) of information With high-resolution satellite remote sensing applications， remote sensing images re-emerged more texture information． Many studies have shown that in addition to the original spectral information，together with information on the texture analysis can improve the accuracy and precision．Especially when the objectives of the spectral characteristics of near，texture features for the distinction between objective will be to play an active role． However， only used to describe the texture of methods to analyze texture regional or texture images， Description and can really understand them．Through the analysis of image texture features to be on the texture and structure of quantitative analysis to describe and explain，This is the texture analysis of the main tasks． Secondly，the texture feature extraction is the image segmentation， image classification， image registration， and other processing technology infrastructure． Remote sensing classification， target identification， data integration and image registration have to be fully and effectively extract goals or objectives of the regional characteristics， an accurate and efficient Texture feature extraction algorithm， which can greatly improve the classification， identification， integration， registration accuracy． In addition， the texture analysis method is still a very powerful means of edge detection，This is because some of the specific goals can really measure on the texture distinguish．Meanwhile，the radar images are rich in texture，different surface roughness showing different texture characteristics， Radar images from the texture information from the radar i