基于GF-5高光谱遥感的农作物种植结构监测研究

Monitoring of Crop Planting Structure Based on GF-5 Hyperspectral Remote Sensing

光学影像在农作物种植结构分类研究中因光谱波段数量有限,对于外在特征差异较小的农作物识别与分类存在一定的局限性。本研究探索利用高分五号(GF-5)高光谱卫星影像的丰富光谱信息,根据不同类别农作物对不同谱段反射光谱曲线差异性进行分类,结果表明农作物种植结构分类效果良好。

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 ranges of different crops,the results show that this method has good classification effect on crop planting structure and has certain practical application value.