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A Different Opinion on the Geological Age of the Longzhaogou and Jixi Groups of Eastern Heilongjiang, China 被引量:7
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作者 Sha Jingeng Nanjing Institute of Geology and Palaeontology, Academia Sinica, Nanjing, Jiangsu 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 1992年第2期209-218,223,共11页
The age of the Longzhaogou and Jixi Groups of coal measures in eastern Heilongjiang were previouslyconsidered to be Jurassic or mainly Jurassic. But there occur Middle Barremian-Early Albian Aucellina(bivalvia) fossil... The age of the Longzhaogou and Jixi Groups of coal measures in eastern Heilongjiang were previouslyconsidered to be Jurassic or mainly Jurassic. But there occur Middle Barremian-Early Albian Aucellina(bivalvia) fossils in the Upper Yunshan Formation of the Longzhaogou Group and the Lower Chengzihe For-mation of the Jixi Group, and the Qihulin Formation of the Longzhaogou Group yields Early Cretaceousbivalve and ammonite fossils. Consequently, the geological ages of the two groups are mainly, or even all, Ear-ly Cretaceous. 展开更多
关键词 A different opinion on the Geological Age of the Longzhaogou and Jixi Groups of Eastern Heilongjiang China
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Different Opinions
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《China Today》 2002年第10期82-82,共1页
The following is my response to a letter to the editor in your June 2002 issue, entitled "Suggestions."
关键词 In different opinions
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Color Image Quality Assessment Based on Structural Similarity 被引量:2
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作者 卢芳芳 赵群飞 杨根科 《Journal of Donghua University(English Edition)》 EI CAS 2010年第4期443-450,共8页
It is well-known that classical quality measures,such as Mean Squared Error(MSE),Weighted Mean Squared Error(WMSE)or Peak Signal-to-Noise Ratio(PSNR),are not always corresponding with visual observations.Structural si... It is well-known that classical quality measures,such as Mean Squared Error(MSE),Weighted Mean Squared Error(WMSE)or Peak Signal-to-Noise Ratio(PSNR),are not always corresponding with visual observations.Structural similarity based image quality assessment was proposed under the assumption that the Human Visual System(HVS)is highly adapted for extracting structural information from an image.While the demand on high color quality increases in the media industry,color loss will make the visual quality different.In this paper,we proposed an improved quality assessment(QA)method by adding color comparison into the structural similarity(SSIM)measurement system for evaluating color image quality.Then we divided the task of similarity measurement into four comparisons:luminance,contrast,structure,and color.Experimental results show that the predicted quality scores of the proposed method are more effective and consistent with visual quality than the classical methods using five different distortion types of color image sets. 展开更多
关键词 image quality assessment structural similarity difference mean opinion score color image
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