Calibration algorithms for an imaging spectrometer

This paper presents a software calibration/characterization utility aimed to automatically perform the laboratory calibration of an imaging spectrometer. Quantitative remote sensing algorithms requires well-documented instrument optical performances along with characterization of non-uniformities as, for instance, smile and keystone. Automatic calibration data acquisition and processing facilitate the understanding of the instrument properties and allow the implementation of specific correction schemes. The concept of calibration cube is also introduced as a promptly accessible data structure for the retrieval of optical properties in any detector position. A case study along with all its relevant results is also introduced, based on the Airborne Prism Experiment (APEX) imaging spectrometer. Recommendations and suggestions are also given for customized implementations of this tool.