摘要
目前高光谱成像技术在森林、草原、农业资源的遥感监测中得到广泛应用,其能够很好地利用植被在可见与近红外波段的反射光谱特征做到识别,但是依然存在无法区分具有相似光谱特征的伪装物的问题,在可见波段具有一定相似性。而由于表面材质和粗糙度的不同,偏振成像能够很好地区分相似光谱的植被和伪装物。本文旨在研究植被表面偏振光谱特征,一方面通过结合偏振成像与高光谱成像技术,丰富信息维度,解决单一光谱研究的不足,另一方面提取空间多角度下植被的偏振光谱特征,为植被和伪装物的识别打下基础。
At present, hyperspectral imaging technology has been widely used in remote sensing monitoring of forest, grassland and agricultural resources, and it can identify vegetation well by using its reflection spectral characteristics in visible and near-infrared bands. However, there is still a problem that it cannot distinguish the precursors with similar spectral characteristics, which have certain similarities in visible bands. Due to the difference in surface material and roughness, polarization imaging can well distinguish between vegetation and precursors of similar spectra. This paper aims to study the polarization spectral characteristics of vegetation surface. On the one hand, it combines polarization imaging and hyperspectral imaging technology to enrich the information dimension and solve the shortcomings of single spectral research. On the other hand, it extracts the polarization spectral characteristics of vegetation from multiple angles in space, laying a foundation for the identification of vegetation and precursors.
出处
《材料科学》
2024年第6期927-933,共7页
Material Sciences
