卫星运动对压缩编码孔径光谱成像的影响

Impact of Satellite Movement on Compressive Coded Aperture Spectral Imaging

用于遥感光谱成像的光谱成像仪普遍存在信息获取慢、光子收集效率低、信噪比低或焦平面阵列大等问题,另外数据立方体庞大的数据量给数据传输造成了极大压力。为了从根本上解决这些问题,文章提出将压缩编码孔径应用于遥感光谱成像中,即压缩编码孔径遥感光谱成像。文章对卫星平台的俯仰、侧滚和偏航运动进行建模,然后利用此模型对成像过程进行仿真和重建,提高了成像品质。由于运动模型以及压缩编码孔径成像技术的引入,使得遥感光谱图像的压缩在成像过程中完成,从而大大提高了传统焦平面阵列的利用率,减小了数据传输的压力,减小了成像光谱仪的体积、质量与成本。

The spectral imagers used in remote sensing spectral imaging often suffer from some short-comings including low information acquisition speed,low photon collection efficiency,low signal-to-noise ra-tio or large focal plane array;besides,the huge amount of data of the data cube causes high pressure to the data transmission.In order to solve these problems,the article proposes to apply a Compressive Coded Aperture（CCA） to remote sensing spectral imaging.It is a compressive coded aperture for remote sensing spectral im-aging.The motions of satellite platform as pitch,roll and yaw are modeled,and this model is used to simulate imaging procedure,reconstruct images and improve image quality.Thanks to the introduction of the motion model and CCA,the compression of remote sensing spectral images is achieved with the imaging process,and then it highly improves the use ratio of focal plane array,reduces the amount of the data transmission,decreases the volume,weight and cost of the imaging spectrometers.