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Wood textures in Jinman copper deposit in western Yunnan and their genetic implications 被引量:1
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作者 刘家军 李朝阳 +5 位作者 张乾 潘家永 刘玉平 刘显凡 刘世荣 杨伟光 《Science China Earth Sciences》 SCIE EI CAS 2001年第6期545-554,共10页
Jinman vein copper deposit in western Yunnan occurs in a salt-bearing red clastic rock formation composed of sandstone, siltstone and shale. Wood texture is considerably developed in the ores. The metallic minerals ma... Jinman vein copper deposit in western Yunnan occurs in a salt-bearing red clastic rock formation composed of sandstone, siltstone and shale. Wood texture is considerably developed in the ores. The metallic minerals making up the wood textures mainly include pyrite, chalcopyrite and bornite. Studies on the samples and examination of their micrographs and electron micrographs have confirmed that they belong to xenoxylon, reflecting that the ore-hosting rock series is the product of sedimentation in the terrestrial environment. Organic geochemistry and sulfur and carbon isotopic composition data indicate that the formation of the deposit is substantially related with underground hot brines and biological processes. 展开更多
关键词 vein copper deposit wood texture biological process western Yunnan China
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Classification of wood surface texture based on Gauss-MRF Model 被引量:4
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作者 WANG Ke-qi BAI Xue-bing 《Journal of Forestry Research》 SCIE CAS CSCD 2006年第1期57-61,共5页
The basal theory of Gauss-MRF is expounded and 2-5 order Gauss MRF models are established. Parameters of the 2-5 order Gauss-MRF models for 300 wood samples' surface texture are also estimated by using LMS. The data ... The basal theory of Gauss-MRF is expounded and 2-5 order Gauss MRF models are established. Parameters of the 2-5 order Gauss-MRF models for 300 wood samples' surface texture are also estimated by using LMS. The data analysis shows that: 1) different rexture parameters have a clear scattered distribution, 2) the main direction of texture is the direction represented by the maximum parameter of Gauss-MRF parameters, and 3) for those samples having the same main direction, the finer the texture is, the greater the corresponding parameter is, and the smaller the other parameters are; and the higher the order of Gauss-MRF is, the more clearly the texture is described. On the condition of the second order Gauss MRF model, parameter B1, B2 of tangential texture are smaller than that of radial texture, while B3 and B4 of tangential texture are greater than that of radial texture. According to the value of separated criterion, the parameter of the fifth order Gauss-MRF is used as feature vector for Hamming neural network classification. As a result, the ratio of correctness reaches 88%. 展开更多
关键词 wood surface texture Gauss-MRF Feature parameter Parameter estimation Separation judgment CLASSIFICATION
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