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
林荣福 1张楠 1周艳 1林峰1
作者信息
- 1. 自然资源部黑龙江基础地理信息中心,黑龙江哈尔滨 150081
- 折叠
摘要
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.
Abstract
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.
关键词
高分五号卫星/高光谱遥感/农作物/种植结构Key words
GF-5 satellite/hyperspectral remote sensing/crop/planting structure引用本文复制引用
出版年
2024
NETL
NSTL
万方数据