Hyperspectral Image Reconstruction Based On Interference Imaging Spectroscopy

The rise of interference imaging spectroscopy is one of the most important developments in the contemporary remote sensing technology, which is an important method to obtain3D information of the target detection. In this dissertation the hyperspectral image reconstruction is studied, and the main work is summarized as follows:the theories of imaging spectroscopy and hyperspectral remote sensing are studied; the relation of interference image and spectrum reconstruction is described based on the principle of spatial modulation interference spectrum; the theory of hyperspectral image reconstruction is discussed involving eliminating trend-line, apodization, phase correction, Fourier transform, and spectrum calibration.Using the real data acquired by the interference imaging spectrometer of HJ-1A satellite as input-data to verify the procedure, and after comparison, selection and optimization of relevant algorithms,115wave bands of hyperspectral image information are finally gotten. The first-order difference equation and triangular window function are chosen. According to the different feature of the phase offset which indwell in the interference information, divided phase offset into linear phase offset and nonlinear phase offset two parts. Propose a phase correction method and use real data of HJ-1A to check it.Research results show that, the reconstructed spectrum images have a high-definition, thus verifying that the images possess the advantage of high spectral resolution and can provide the basis for subsequent applications such as land cover identification, etc. Moreover, it is valuable to some extent for further research and development of the Environment and Disaster Monitoring Satellites in the future.