基于海岸线区域两类不同轴遥感设备之间匹配应用

以高光谱分辨率的空间外差光谱仪为例,针对其获取地表目标干涉数据的特点,提出一种利用高空间分辨率遥感图像中海岸线区域的大面积均匀地貌且地表反射率有突变的特征来对空间外差光谱仪进行指向配准的方法,实现了不同轴成像遥感设备与非成像遥感设备之间的匹配应用.利用空间外差光谱仪在多个对地观测点的结果干涉数据和相同经纬度区域的高空间分辨率图像数据进行地基测试实验,将配准校正值结果与其标称值进行对比,误差范围在-3%~5%.结果表明,该方法可为星载不同轴成像遥感设备与非成像遥感设备之间匹配应用提供参考依据.

Application of matching between two kinds of non-coaxial remote sensing equipment in coastline area

The matching between imaging remote sensing equipment and non-imaging remote sensing equipment refers to the space conversion between the image data and other data of observation target in the same reference coordinate system. Due to the difference of data and the difficulty of matching of different types of equipment, the previous studies are mostly between the same type of equipment and little attention to the matching of different data types of equipment. Such as molecular spectral level remote sensing applications require the matching between high spatial resolution image and hyperspectral resolution spectrum of the target. Taking the hyperspectral resolution of Spatial Heterodyne Spectrometer (SHS) as an example, this paper proposes a method to match and correct the pointing error of SHS, which is extracted the characteristics of the ground surface interferometric data with SHS by using the feature of large area uniform landform and abrupt change of the surface reflectance in coastline area of the high spatial resolution remote sensing image. And this method is used to realize the matching application between non-coaxial imaging remote sensing equipment and non-imaging remote sensing equipment. The SHS was used to perform ground-based testing experiment on the results of interferometric data at several earth observation points and high spatial resolution image data in the same latitude and longitude region. The results of the calibration correction were compared with their nominal values, and the error ranged from -3 % to 5%.The results show that the proposed method can be used as a reference for matching application between non-coaxial imaging remote sensing equipment and non-imaging remote sensing equipment on board the satellite.