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- W2377802181 abstract "With the rapid development of technologies in computer, digital image, geographical information system and relevant commercial softwares, great progress has been made in the field of automatic classification and mapping of regional landforms since the 1980s. However, two methods have been employed till now. One is visual interpretation using digital images, and the other is the automated extraction of landform characteristics from DEM. Because of the difference in personal visual perceptions, different boundary lines of the same landform unit often appear in two workers' interpretation results. Thus, the results obtained from the first method are difficult for future use. As to the second method, it is difficult to get detailed classifications (for example, to distinguish a valley plain from an open plain) by using DEM alone due to the complex nature in landform characteristics. In fact, DEM and digital image contain different, yet complementary, informations related to landform features. Therefore, a new method to integrate landform information of both DEM and TM image by digitizing signing lines in TM image is presented in this paper. With this approach, six types of basic landforms were successfully classified and mapped automatically in Guyuan county of Hebei province. In addition, the spatial variability of accuracy in classification was also evaluated by an application of fuzzy set theory using the notion of entropy in Guyuan case studies." @default.
- W2377802181 created "2016-06-24" @default.
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- W2377802181 date "2006-01-01" @default.
- W2377802181 modified "2023-09-24" @default.
- W2377802181 title "Automatic Classification and Mapping of Regional Landforms Based on Fusion of DEM and TM Image" @default.
- W2377802181 hasPublicationYear "2006" @default.
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