设计了热红外航空遥感实验,对获取的热红外图像进行了定标,用发射率归一化方法反演了地物的温度和发射率光谱,探讨了利用地物热红外光谱识别地物的可行性.结果表明,基于热红外多光谱数据的发射率归一化方法可以有效地反演地物温度和发射率光谱,所反演的发射率光谱可以比较有效地应用于地物的识别,尤其是对于土壤不同性状的探测识别可以取得良好的结果.
We derived object temperature from emissivity spectrum using the emissivity normalized method and discussed the feasibility of recognizing objects using ground object thermal infrared spectra. The results show that the emissivity normalized method based on thermal multispectral data can invert object temperature and emissivity spectrum efficiently. It means that inversion of emissivity spectra can be effectively applied in feature recognition, especially for different soil properties.