从遥感影像读出实测点对应像素灰度值的一种算法  

An Algorithm for Reading the Gray Value of Relative Pixel of Actual Measurement Point on Remote Sensing Image

作　　者：褚忠信[1] 孙效功[1] 张晶[1] 

机构地区：[1]中国海洋大学,青岛266003

出　　处：《电脑开发与应用》2003年第10期25-26,共2页Computer Development & Applications

摘　　要：在遥感信息反演的经验模式中 ,是利用离散的实测点数据与相应的影像对应像素的光谱值找出关系 ,建立遥感信息反演模型 ,从而反演出感兴趣的信息。要读出影像上对应点的灰度值 ,需要先找出相应影像上的对应点的像素行列值。主要介绍了用 matlab实现的利用实测离散点计算遥感影像上对应像素的一种方法 ,实例表明配准效果良好 ,提取灰度简单可行。解决了计算出实测点对应影像上相应的像素这一遥感信息反演中的首要问题。In the experience mode of remote sensing infor mation inversi on,the discrete data of actual measurement point and the spectrum value that the relative image is corresponding to the pixel,are used to obtain the relation,an d create the remote sensing information inversion module so as to invert the int erested information.It is required to obtain the pixel line and column values of the corresponding point on the relative image if the gray value of the correspo nding point on the image is required.This paper mainly presents the way to use t he actual measurement point to calculate the corresponding pixel on the remote s ensing image,implemented with matlab,and with the ideal effect of image registra tion and simple and practical gray extraction.This method solves the main proble m of the remote sensing information inversion in calculating the corresponding p ixel on the image that the actual measurement point is relative to.

关 键 词：遥感 像素灰度值 算法 图像配准 信息反演 影像 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]