基于谱段关联的近红外图像模拟方法

Near-infrared Image Simulation Based on Spectral Correlation Method

提出一种基于谱段关联的近红外图像模拟方法,分析遥感图像成像链路模型,以及卫星载荷传感器可见光多光谱谱段和全色谱段的关联性,计算得到了谱段关联系数,并基于谱段的关联系数生成模拟近红外图像.为了提高近红外模拟图像生成的速度,利用基于GPU的SIFT算法对全色图像与多光谱图像进行匹配.采用所提方法利用吉林一号光学A星的数据,生成模拟近红外图像,单景图像计算时间优于3s,该方法对合成真彩色图像和去云去雾均有较好的效果.

A near-infrared image simulation method based on spectral correlation is proposed.The remote sensing image-link model,and spectral correlation between visible multispectral and panchromatic for satellite sensors were analyzed,and the spectral correlation coefficient was calculated.Thus the simulation near-infrared image was generated based on the spectral correlation coefficient.In order to improve the speed of near-infrared image generation,the SIFT algorithm based on GPU was used.The proposed method utilized the data of Jilin-1 A optical sensor to generate the simulation near-infrared images.The computation time of individual image was better than 3 s,and the simulation image had better effects for synthesis of true color image and removal of cloud and haze.