蓝波段缺失遥感影像真彩色模拟方法研究  

Research about Method of Simulating True Color Image for Remote Sensing Image Lack of Blue Band

作　　者：许辉熙[1,2,3] 陈云浩[3] 薛万蓉[2] 

机构地区：[1]四川建筑职业技术学院测量工程研究所,四川德阳618000 [2]四川建筑职业技术学院测绘工程系,四川德阳618000 [3]北京师范大学地表过程与资源生态国家重点实验室,北京100875

出　　处：《激光与光电子学进展》2015年第5期71-78,共8页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(41471348);四川省环境保护重大科技专项(2013HBZX01)

摘　　要：针对一些遥感数据缺失蓝波段而无法进行真彩色影像合成的问题,提出一种模拟多光谱传感器真彩色影像的方法。将中分辨率成像光谱仪MODIS地表反射率产品(MOD09)作为参考影像,经影像聚类分析得到具有代表性训练样本,并通过反向传播(BP)人工神经网络训练得到蓝波段与特征波段(绿/红/近红)间关系的非线性回归模型,该模型用于模拟Landsat TM/MSS和SPOT-5的蓝波段并最终合成真彩色影像。实验结果表明:BP神经网络能够很好地模拟多光谱影像的蓝波段,并且能够在一定程度上去除蓝波段上的大气影响,从而可以得到较为理想的真彩色合成效果。研究成果进一步扩展了图-图遥感影像波段模拟模型的研究深度。True color images can not be synthetized due to some remote sensing data missing blue band. A method of simulating true color remote sensing image is proposed. The MODIS land surface reflectivily product（MOD09） is used as reference image where to select pixel samples, and a non-linear regression analysis model is acquired through a back- propagation（BP） artificial neural network that used to fit the spectral reflectance relationship among the blue band and red, or green and near-infrared bands. Then Landsat TM/MSS and SPOT-5 blue bands are simulated with the trained fitting model, and a natural- color image is acquired. The experimental result shows that using the BP neural network model, the blue band of a multispectral image is well simulated and even the atmospheric effect of the blue band is removed. Thus a more realistic and informative natural-color image is acquired. The research results further extend the research depth on remote sensing image band simulation model based on the image-image relationship.

关 键 词：遥感 蓝波段模拟 真彩色影像 反向传播人工神经网络 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]