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- W2379842514 abstract "Grassland is the largest land ecosystem which plays a pivotal role in agriculture,animal husbandry and human surviving and development in the procedure of energy flowing and material cycle. At present,the situation of ecological environment is quite serious. So it is very important to monitor the grassland dynamically and provide accurate,complete and rich scientific basis for the relevant sections. The study focuses on the classification methods of the low or medium resolution,multi- scale remote sensing images for typical tempered grassland. Experimental results on the remote sensing images of Xilinhot and Hulunbuir demonstrate maximum likelihood classification method fits the classification of typical tempered grassland." @default.
- W2379842514 created "2016-06-24" @default.
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- W2379842514 date "2015-01-01" @default.
- W2379842514 modified "2023-09-25" @default.
- W2379842514 title "RESEARCH ON THE SURFACE OBJECT'S CLASSIFICATION METHOD OF REMOTE SENSING IMAGES FOR TYPICAL TEMPERED GRASSLAND" @default.
- W2379842514 hasPublicationYear "2015" @default.
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