Crop Refinement Classification Based on Different Remote Sensing Data Sources
Remote sensing technology has become an important means of extracting agricultural information.In order to explore the identifica-tion and classification of crops of different remote sensing data sources,we selected Babu District Dongrong vegetable industry demonstration zone supplied to HongKong as the research area.Base on Planet,GF6 WFV,Landsat 8 OLI remote sensing images,we used the support vec-tor machine method to identify and extract different crops of the tip leaves of bean,Xuedou,Qingzai,vegetable heart of pointed leaf,cabbage mustard.We also evaluated the extraction effect through class separability,overall classification,Kappa coefficient,spectral variation and mapping effect.Results showed that GF6 WFV images were the best resource for crop recognition and extraction in the study area.
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