摘要
研究目的:探讨模型简单、实用的机载成像光谱数据辐射畸变校正算法,为土地利用/覆被研究提供辐射质量优化的图像。研究方法:理论分析与实证研究法。研究结论:由于“太阳-目标-传感器”的相对几何关系发生变化,使得不同空间位置的相同地物辐射亮度值发生变化,这种辐射畸变称其为几何辐射畸变更为合理;基于低通滤波的辐射畸变校正算法,模型简单、方法实用,实现了研究区128波段OMIS-I机载成像光谱数据图像辐射畸变的有效校正。
The purpose of this paper is to develop a simple and practical method to correct radiometric distortions of airborne imaging spectrometer data, which is related to the large viewing field of remote sensor relative to its height. Methods of theoretical analysis and case study were employed. The results show that as the accepted radiance for the same land cover by the remote sensor varies with the location of the object in the remotely-sensed images, which is mainly caused by the geometric relationship among the sun, the object and the sensor, it is more reasonable to name this distortion as ＂Geometric Radiance Distortion＂（GRD）. The method of correction given in this paper, which is based on low pass filter, is a practical way to solve the problem of GRD and an example of OMIS-Ⅰ data with 128 bands showed the effectiveness of this method recommended in this paper.
出处
《中国土地科学》
CSSCI
北大核心
2005年第6期50-53,共4页
China Land Science
基金
国家"863"项目"对地观测技术在国土资源调查中应用"
关键词
成像光谱数据
几何辐射畸变
低通滤波
土地利用/覆被
imaging spectrometer data
geometric radiation distortion
low pass filtering
land use/cover
