空间重采样方法对遥感影像信息影响研究

Image quality evaluation of multi-scale resampling in geometric correction

在对原始影像进行几何校正时需要对影像进行重采样,必然会导致光谱信息的失真,如何保持原始影像的光谱信息一直是研究的热点问题.从影像应用质量评价的角度,对3种不同类型的遥感影像质量进行了评价与分析,通过对多幅不同空间分辨率的遥感影像重采样后进行比较,评价了重采样后遥感影像的质量.研究表明,影像重采样后的信息量随着空间分辨率的提高基本保持不变,随着空间分辨率的降低,信息量也逐步减少的结论,为评价遥感影像重采样后影像信息量损失情况的多尺度效应提供参考.

Resample method is used to do geometric correction on remotely sensed im- age. However, geometric correction can lead to decrease of spectral information quality. The research to maintain the spectral information has been the focus in the remote sens- ing domain. The quality of the images is evaluated and analyzed in the view of the quali- ty assessment of image application. By comparing the results at different spatial resolu- tion, the quality of the aerial images is evaluated objectively. The image application quality evaluation is carried out in three aspects： statistical feature, texture feature and energy feature. The result showed that the evaluation of aerial images can accurately re- flect multi-scale effect of resampling information loss.