机载成像光谱图象边缘辐射畸变校正

由于受大气效应、地物反射非朗伯特性、仪器－太阳－目标相对几何关系以及仪器系统本身特性等多种因素的影响，机载成像光谱数据中不可避免地将引入系统或非系统的辐射畸变，严重地影响了数据表达信息的可靠性和有效性。目前虽然已有一些机载遥感图像辐射畸变校正方法，但由于受各种应用条件的限制，所发展的这些方法普遍缺乏实用性和通用性。该文在对机载成像光谱图象边缘辐射畸变形机制进行理论分析和探讨的基础上，针对机载成像光

Radiometric Correction of Airborne Imaging Spectrometer Data

Abstract Quality and interpretability of airborne imaging spectrometer data generally are degraded by radiometric distortions which are related to the larger viewing field of remote sensor. During the period of data acquisition, some parameters, such as path radiance, atmospheric attenuation and the sun object sensor geometry, continuously change with viewing angle, which causes a severe radiometric distortion on airborne imaging spectrometer data in scanning direction. Additionally, non Lambertin reflection of ground objects and relief of terrain strongly complicate the radionetric distortion. It is impossible to do data processing and quantitative analysis if radiometric distortions of data are not corrected properly. In this paper, a new method based on image itself is developed to correct edge radiometric distortion of airborne imaging spectroneter data. Experimental results presented in the paper illustrate that the proposed method is more practical, effective and efficient for radiometric restoration of airborne imaging spectrometer data.