线推扫式高光谱相机侧扫成像几何校正

Geometric correction of linear push-broom hyperspectral camera side-scan imaging

线阵高光谱相机侧扫成像可以有效解决卫星遥感影像无法获取建筑物立面光谱数据等问题。阐述了课题组集成开发的线推扫式高光谱遥感监测系统组成部分及关键技术指标等;根据地面侧扫成像特点,详细推导了适合于线推扫式相机地面侧扫成像几何校正模型;给出了地理参考影像格网划分和重采样方法,并对数据采集过程可能出现的漏采现象提出解决方案。通过大量地面模拟实验,验证了线阵影像几何畸变校正算法的有效性及鲁棒性,为同类产品的地面应用提供参考。

The side-scan imaging of the linear push-broom hyperspectral camera could solve the problem that the remote sensing images collected from the satellite platform could not get the spectral data of building facades. The main components and the key technical specifications of linear push-broom hyperspectral remote sensing system integrated and developed by our research team were stated in this paper. According to the feature of side-scan imaging, the geometric correction model was derivated in detail, which was suitable to the linear camera side-scan imaging. The methods of geo-referenced image divided into grids and spectral resampling were presented, and the solution for data loss in the collection process was also proposed. The validity and robustness of linear image distortion correction algorithm were verified through amounts of simulation experiments. It provided reference for the application of similar products.