Hyperspectral cameras provide numerous advantages in terms of the utility of the data captured. They capture hundreds of data points per sample (pixel) instead of only the few of RGB or multispectral camera systems. Aerial systems sense such data remotely, but the data must be georectified to produce consistent images before analysis. We find the traditional direct georectification method to be slow, and it is prone to artifacts. To address its downsides, we propose Spacecube, a program that implements a complete hyperspectral georectification pipeline, including our own fast inverse georectification technique, using OpenGL graphics programming technologies. Spacecube operates substantially faster than real-time and eliminates pixel coverage artifacts. It facilitates high quality interactive viewing, data exploration, and export of final products. We release Spacecube's source code publicly for the community to use.

翻译：高光谱相机在捕获数据的实用性方面具有诸多优势。它们每个样本（像素）可捕获数百个数据点，而非RGB或多光谱相机系统仅有的少数数据点。航空系统远程感知此类数据，但在分析前必须对数据进行地理校正以生成一致的图像。我们发现传统的直接地理校正方法速度缓慢，且易产生伪影。为解决其缺点，我们提出了Spacecube——一个实现完整高光谱地理校正流程的程序，其中包含我们自主研发的快速逆地理校正技术，并采用OpenGL图形编程技术。Spacecube的运行速度显著快于实时处理，且消除了像素覆盖伪影。该程序支持高质量的交互式查看、数据探索及最终产品的导出。我们已公开Spacecube的源代码供学术界使用。