为了从一系列多角度遥感图像中提取同一目标的方向信息,首先需要进行图像的几何配准与校正。在进行热红外多角度遥感图像相关分析的基础上,提出一个适合于机载多角热红外图像自动配准与几何校正的方案,结果表明自动配准精度优于1个像元,满足热红外多角度信息提取的需要。

Thermal video camera equipped with wide-angle FOV lens has been used to acquire mufti-angular thermalimagery. In order to extract the directional infonmation for individual pixels at different view angles, image merging isneeded to co-register mufti-view angle imagery. This paper describes an automated image merging procedure toaccomplish this task. After analyzing the relationship between TIR image's correlation coefficients, spatial resolution,image texture and image overlap ratios, a mufti-step automatic merging algorithm procedure is described. The method istested using mufti-angular airborne thenmal infrared imagery for an experimental site characterized by agricultural landuse. Results from these tests show that the accuracy is better than one pixel.