Glacial lakes in the High Mountain Asia(HMA)are sensitive to global warming and can result in much more severe flood disasters than some largesized lakes.An accurate and robust method for the extraction of glacial lak...Glacial lakes in the High Mountain Asia(HMA)are sensitive to global warming and can result in much more severe flood disasters than some largesized lakes.An accurate and robust method for the extraction of glacial lakes is critical to effective management of these natural water resources.Conventional methods often have limitations in terms of low spectral contrast and heterogeneous backgrounds in an image.This study presents a robust and automated method for the yearly mapping of glacial lake over a large scale,which took advantage of the complementarity between the modified normalized difference water index(MNDWI)and the nonlocal active contour model,required only local homogeneity in reflectance features of lake.The cloud computing approach with the Google Earth Engine(GEE)platform was used to process the intensive amount of Landsat 8 images from 2015 (344 path/rows and approximately 7504 scenes).The experimental results were validated by very high resolution images from Chinese GaoFen-1 (GF-1) panchromatic multi-spectral(PMS)and appeared a general good agreement.This is the first time that information regarding the spatial distribution of glacial lakes over the HMA has been derived automatically within quite a short period of time.By integrating it with the relevant indices,it can also be applied to detect other land cover types such as snow or vegetation with improved accuracy.展开更多
The thesis aims to explain the functions of componential analysis to animal images in The Classic of Mountains and Seas. It serves as a treasure to the tremendous Chinese classics. However, as most of the animal image...The thesis aims to explain the functions of componential analysis to animal images in The Classic of Mountains and Seas. It serves as a treasure to the tremendous Chinese classics. However, as most of the animal images in the classic book are rarely seen in daily life, translation of animal images in the ancient Chinese book remains a hard nut to crack. In this case, explicit and accurate interpretation of these culture-loaded items is crucial to make readers understand. However, few previous studies touched upon this area. In this case, componential analysis serves as a solution. As an effective approach for analyzing semantic components, componential analysis is an effective way to break down semantic components of words and make them easily understood. In the previous studies, papers relating translation to componential analysis were not the majority. Among them, few papers are concerning application of componential analysis to the translation of literary works. In this essay, the analysis of animal images could be interpreted in lexical and textual level respectively. In this case, componential analysis bridges the gap for culture differences and enables readers of target language to savor the beauty. Therefore, readers of the target language can enjoy alien cultures of ancient China by reading this translated version.展开更多
基金funded by the National Natural Science Foundation Project (Grant Nos. 41701481 and 41401511)
文摘Glacial lakes in the High Mountain Asia(HMA)are sensitive to global warming and can result in much more severe flood disasters than some largesized lakes.An accurate and robust method for the extraction of glacial lakes is critical to effective management of these natural water resources.Conventional methods often have limitations in terms of low spectral contrast and heterogeneous backgrounds in an image.This study presents a robust and automated method for the yearly mapping of glacial lake over a large scale,which took advantage of the complementarity between the modified normalized difference water index(MNDWI)and the nonlocal active contour model,required only local homogeneity in reflectance features of lake.The cloud computing approach with the Google Earth Engine(GEE)platform was used to process the intensive amount of Landsat 8 images from 2015 (344 path/rows and approximately 7504 scenes).The experimental results were validated by very high resolution images from Chinese GaoFen-1 (GF-1) panchromatic multi-spectral(PMS)and appeared a general good agreement.This is the first time that information regarding the spatial distribution of glacial lakes over the HMA has been derived automatically within quite a short period of time.By integrating it with the relevant indices,it can also be applied to detect other land cover types such as snow or vegetation with improved accuracy.
文摘The thesis aims to explain the functions of componential analysis to animal images in The Classic of Mountains and Seas. It serves as a treasure to the tremendous Chinese classics. However, as most of the animal images in the classic book are rarely seen in daily life, translation of animal images in the ancient Chinese book remains a hard nut to crack. In this case, explicit and accurate interpretation of these culture-loaded items is crucial to make readers understand. However, few previous studies touched upon this area. In this case, componential analysis serves as a solution. As an effective approach for analyzing semantic components, componential analysis is an effective way to break down semantic components of words and make them easily understood. In the previous studies, papers relating translation to componential analysis were not the majority. Among them, few papers are concerning application of componential analysis to the translation of literary works. In this essay, the analysis of animal images could be interpreted in lexical and textual level respectively. In this case, componential analysis bridges the gap for culture differences and enables readers of target language to savor the beauty. Therefore, readers of the target language can enjoy alien cultures of ancient China by reading this translated version.
