Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
Tóm tắt
Từ khóa
Tài liệu tham khảo
Gong, 2013, Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data, Int J Remote Sens, 34, 2607, 10.1080/01431161.2012.748992
Zhao, 2014, Towards a common validation sample set for global land-cover mapping, Int J Remote Sens, 35, 4795, 10.1080/01431161.2014.930202
Li, 2017, The first all-season sample set for mapping global land cover with Landsat-8 data, Sci Bull, 62, 508, 10.1016/j.scib.2017.03.011
Yu, 2014, A multi-resolution global land cover dataset through multisource data aggregation, Sci China Earth Sci, 57, 2317, 10.1007/s11430-014-4919-z
Banfield, 2007, A comparison of decision tree ensemble creation techniques, IEEE Trans Pattern Anal, 1, 173, 10.1109/TPAMI.2007.250609
Wang, 2015, Mapping global land cover in 2001 and 2010 with spatial-temporal consistency at 250 m resolution, ISPRS J Photogramm, 103, 38, 10.1016/j.isprsjprs.2014.03.007
Li, 2014, Comparison of classification algorithms and training sample sizes in urban land classification with Landsat Thematic Mapper imagery, Remote Sens, 4, 964, 10.3390/rs6020964
Li, 2016, An all-season sample database for improving land-cover mapping of Africa with two classification schemes, Int J Remote Sens, 37, 4623, 10.1080/01431161.2016.1213923