Monitoring of Crop Planting Structure Based on GF-5 Hyperspectral Remote Sensing
Due to the limited number of traditional multi-spectral image bands,there are certain limitations in the identification and classification of crops with small differences in external characteristics. Based on GF-5 hyperspectral images,this study explores the use of rich spectral information of hyperspectral remote sensing. According to the difference of light reflection in different spectral ran-ges of different crops,the results show that this method has good classification effect on crop planting structure and has certain practi-cal application value.
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