麻烦高手帮我把化工论文摘要翻译成英文,谢谢!
With digital technology and Internet technology, copyright protection is particularly important network information. Compensation for copyright infringement on the Internet in China should apply the principle of fault liability, consistent with legal principles, in line with national conditions, conducive to a balance between the network and the interests of copyright holders, is conducive to punish violations, but also conducive to protect the Internet industry. I will copyright infringement damages attributable to different principles, violations of the constituent elements and principles of tort liability to illustrate this point.
abstract
Hyperspectral remote sensing images with dozens of to hundreds of each band of data, for people to understand the features provides abundant information, the classification and features of recognition is very favorable targets. Hyperspectral remote sensing data recorded the continuous spectrum of terrain target. And other types of remote sensing image, more information than rich, consequently have recognition more kinds of geophysics target with higher precision, and the ability of target classification. But hyperspectral remote sensing images, because of large amount of data, and there is a data redundancy and is currently in the phenomenon of its classification, often need first to data dimension reduction, reuse some other classification algorithm classification. To do so, the increased workload sorting failed to achieve "integration", "automatic".
The decision tree algorithm has flexible, intuitive, clear, strong, operational efficiency higher characteristic, in remote sensing image classification field is worth studying. At present more mature decision tree algorithm has ID3 algorithm, C4.5 algorithm, CART algorithm, C5.0 algorithm, etc, they are suitable for discrete data sets the classification, and processing data sets size is limited, so used to deal with remote sensing data is there are some deficiencies, need to study a suitable for remote sensing image classification decision tree.
Using decision tree classification technology and the classification of hyperspectral remote sensing data, combined with the advantage of using decision tree can be fully mining hyperspectral data most use information for studying hyperspectral remote sensing image, a new method to improve the classification, the ability to recognize and terrain target classification accuracy, is of great theoretical and practical significance. This paper based on the study of decision tree hyperspectral remote sensing image classification method, puts forward a kind of decision tree algorithm of automatic construction. Test of hyperspectral remote sensing images by field sampling, the sample training, thereby automatically generate a tree binary classification of decision tree, and image classification. The decision tree in every decision point where the most advantage of choice and threshold, the whole band straightforward, tree, classification rules understandable, classification accuracy and efficiency is higher. Realized hyperspectral remote sensing images from data dimension reduction, sample selection, sample training, decision-making tree formation, image classification "globalization" and "automatic".
Keywords: binary decision tree, hyperspectral remote sensing image classification, the mean distance between standard, optimal threshold value, automatic construction
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A raw materials to make, after oxidation, synthetic B, expected to change the order, first A completely dissolved in sodium hydroxide solution, and then dropping oxidants C, nitro compounds and avoid the substantial contact with oxygen, an explosion, the reaction process Safe and easy to control, and because raw materials soluble in alkaline solution, the reaction completely, substantially reduce the amount of C, the optimal amount of A C Moore four times, to 71.4% of the yield of a B. Products in more than 99 percent.
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