基于现有伪装涂料与植被反射光谱的本质差异，提出一种可有效识别当前所有绿色伪装涂料的高光谱成像方法.通过分析绿色伪装涂料与被子植物叶片的反射光谱及其一阶微分谱的差异，确定了星载和机载高光谱遥感探测中，可见光波段的绿色反射峰和780～1 300 nm的“近红外高原”波段反射率的波动性是识别绿色伪装涂料的有效光谱特征.对“近红外高原”波段的反射光谱进行成像是高光谱探测实现伪装目标可视识别的可行方法，尤其是对反射光谱一阶微分处理后进行成像可更加有效地识别植被环境中的绿色伪装涂料.

A hyperspectral imaging method which could recognize all the current green camouflage coatings effectively was proposed based on the essential relfectance spectrum difference between current green camouflage coatings and vegetation.The green reflectance peak in visible waveband and reflectance fluctuation of near infrared plateau during 780nm to 1300nm were effective spectral characteristics for recognizing green camouflage coatings from hyperspectral remote sensing data,which was found by analyzing the difference of reflectance spectrum and its first order differentiation between green camouflage coatings and vegetation leaves.The imaging of near infrared plateau reflectance spectrum is an effective method to realize visual recognition of camouflage targets for hyperspectral detection.Especially,imaging of the first order differentiation of reflectance spectrum could ehance the recognition of green camouflage coatings in vegetation enviroment.