GPS引导下的多角度遥感图像自动匹配

随着航天和计算机技术的进步,多角度遥感目前又一次成为遥感基础研究的新热点,不同于以往的传统垂直观测方式,它不仅提供了地物的空间光谱信息,还提供了地物的结构特征信息,是定量化遥感的途径之一。多角度遥感也使得遥感图像处理更加复杂,多角度遥感图像的配准便是要解决的关键技术之一,多角度遥感图像成像的特殊性决定了纯粹利用图像信息进行的匹配是较为困难的。本文以法国POLDER（POL arizationand Directionality of Earth's Reflectance）多角度航空遥感试验为例,介绍POLDER多角度遥感图像自动匹配的方法,首先用GPS进行定位引导,精度在100m左右,然后在初步定位的基础上,用图像灰度特征和结构特征进行精确配准,自动定位精度小于30m,最后采用局部最小误差控制点对图像进行重采样处理,并直接提取航空平台的地物二向性反射信息。

AUTOMATIC RELATIVE ORIENTATION OF MULTI-ANGLE REMOTE SENSED IMAGERY CONDUCTED BY GPS

With the development of aviation and computer science, Multi-angle remote sense has become a new focus of fundamental research in remote sense. Different from traditional observed method, multi-angle remote sense provides not only the spectrum information of ground object but also structure feature, and becomes one of the most important quantitative analysis ways of remote sensed data. Unfortunately multi-angle remote sense also make the image process more complex. The registration of multi-angle remote sensed image is one of the most difficult steps. This paper presents a new method to automatic register multi-angle image and has applied to POLDER (Polarization and Directionality of Earth's Reflectance) data. First, we use GPS to conduct object's primary position which orientation accuracy was estimated about 100 meters. Second, we use image grey and structure feature to register again. The final result was sure to better than 30 meters. At last, these control positions was used to register multi-angle images and obtain BRDF (Bidirectional Reflectance Distribution Function) information of aerial platform. The process of aerial BRDF will discuss in another paper. \ \