Optical Design Of Imaging Spectrometer And Research On The Assessment Of Image Quality

Spectral imaging technology is a new detection technology gradually developingfrom optical remote sensing. It is a major breakthrough in the field of remote sensingand can simultaneously capture both spatial and spectral information from the objectof interest. Since its birth dated back to the1980’s by the Jet Propulsion Laboratory(JPL), the important practical value of imaging spectroscopy has received wideattention. It plays a significant role in agriculture and forestry Category management,natural disaster Surveillance, water resources and mineral resources survey,environmental monitoring and etc. This thesis focuses on the research of spectralimaging systems. According to the application requirements for light platforms,several small, lightweight multispectral and hyperspectral imaging technologyprogram is presented for remote sensing and the design works of the correspondingoptical systems are done. At the same time, in order to achieve comprehensive andaccurate predictive assessment of image quality, remote sensing imaging energytransmission and spatial information modulation link are modeled. Based on themathematical model, the filter-array imaging spectrometer system simulation andevaluation of image quality are made. In this thesis, the main research contentsinclude:1. Introducing the concept of the imaging spectrometer and generating process.Summarizing the development status of spectral imaging technology, image qualityassessment and simulation methods at home and abroad.2. Analyzing the spectrum acquisition principle of two kinds of high stability,lightweight multi-spectral imaging technology and their pros and cons. Completingthe design of the optical system of multispectrometer based on filter array and lightfield. 3. Detailed analyzing the imaging principles and characteristics of the form ofconvex grating and curved surface prism spectrometer system based on the Offnerrelay imaging system and propose the corresponding results of modified form.According to the given indicators, completing the design of optical system.Comparatively analyzing the smile and keystone of the system.4. Introducing three methods of evaluation of the image quality. Two main linkof the entire imaging process ware specifically modeling analyzed. Discussing theacquisition and transformation of the energy as well as various sources of noise of thesystem. Quantifying the modulation effect of various links in the spatial informationtransfer process and laid a theoretical foundation for assessment of image quality.5. Analyzing the process in detail of image quality evaluation based on systemparameters by taking a filter-array airborne imaging spectrometer for example.Through imaging simulation, gives intuitive performance results. Calculatedmathematically the indicators of the statistical properties of the spectral images andcomparing the difference of the image interpretation rating scale among the spectralimages.