A decision tree classification method for middle rice information based on feature extraction from multi-temporal data
A decision tree classification and feature extraction technology, applied in the field of surveying, mapping and remote sensing, can solve the problems of negative impact on image quality, difficult imagery, long revisit cycle of TM image data, etc., to achieve high efficiency and improve accuracy.
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[0020] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the invention.
[0021] The embodiment of the present invention provides a kind of mid-season rice information decision tree classification method based on feature extraction in multi-temporal data, such as figure 1 and figure 2 As shown, the described middle rice information decision tree classification method based on feature extraction in multi-temporal data comprises the following steps:
[0022] S1. Obtain the Gaofen-1 image data in different phases in the corresponding area, and perform radiation calibration preprocessing and atmospheric correction preprocessing on the Gaofen-1 image data respe...
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