Abstract : The paper summarized pre-existing research works relating to land use/land cover classification based on multi-resolution remote sensing data. According to the features of regions, we carried out of the land use/land cover classification of level III classes in 148 group of Xinjiang agricultural reclamation eighth division. The land use/land cover classification system divided land in study area into 6 level I classes, 16 level II classes, and 22 level III classes with multi-spatial-resolution remote sensing data. Thus we set up a set of land use/ land cover remote sensing classification and corresponding code system.
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-369, pp.340-350, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27278-3_36〉
https://hal.inria.fr/hal-01361000
Contributeur : Hal Ifip
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Soumis le : mardi 6 septembre 2016 - 15:13:20
Dernière modification le : lundi 12 novembre 2018 - 10:36:02
Document(s) archivé(s) le : mercredi 7 décembre 2016 - 13:23:08
Yuechen Liu, Zhiyuan Pei, Quan Wu, Lin Guo, Hu Zhao, et al.. Land Use/Land Cover Classification Based on Multi-resolution Remote Sensing Data. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-369, pp.340-350, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27278-3_36〉. 〈hal-01361000〉
