Abstract
Abstract. Imaging spectrometer obtains or indirectly obtains the spectral information of the ground surface feature while obtaining the target image, which makes the imaging spectroscopy has a prominent advantage in fine characterization of terrain features, and is of great significance for the study of geoscience and other related disciplines. Since the interference data obtained by interferometric imaging spectrometer is intermediate data, which must be reconstructed to achieve the high quality spectral data and finally used by users. The difficulty to restrict the application of interferometric imaging spectroscopy is to reconstruct the spectrum accurately. Based on the original image acquired by Large Aperture Static Imaging Spectrometer as the input, this experiment selected the pixel that is identified as crop by artificial recognition, extract and preprocess the interferogram to recovery the corresponding spectrum of this pixel. The result shows that the restructured spectrum formed a small crest near the wavelength of 0.55 μm with obvious troughs on both sides. The relative reflection intensity of the restructured spectrum rises abruptly at the wavelength around 0.7 μm, forming a steep slope. All these characteristics are similar with the spectral reflection curve of healthy green plants. It can be concluded that the experimental result is consistent with the visual interpretation results, thus validating the effectiveness of the scheme for interferometric imaging spectrum reconstruction proposed in this paper.
Highlights
Imaging spectroscopy is a new type of remote sensing observation developed in the 1980s
According to the principle of interferometric imaging spectroscopy, the sampling point near the zero optical path difference position determines the overall shape of the reconstructed spectrum, and the sampling point near the maximum optical path difference determines the detailed change of the reconstructed spectrum, as shown in Figure 8 for selecting small bilateral interference data and the zero-cross sampling interference data were separately subjected to a Fourier transform to recover the spectrum
Imaging spectroscopy is a powerful tool for mankind to study outer space and the earth itself, and has great potential for application
Summary
Imaging spectroscopy is a new type of remote sensing observation developed in the 1980s. Imaging spectroscopy can obtain remote sensing images containing tens or even hundreds of narrow and continuous bands with spectral resolution up to nanoscale, which provides a powerful means for material analysis and identification, and has important application value in military, geological survey, environmental monitoring and precision agriculture, is becoming the development trend of modern remote sensing technology. The time-modulated interferometric imaging spectrometer relies on moving mirror scanning to form the optical path difference. Its technical implementation is difficult, and the shortcomings of poor aseismic performance on the satellite and inability to acquire spectral information in real time limit its application. Large Aperture Static Imaging Spectrometer(LASIS) adopts timespace combined modulation mode, does not have an incident slit, and does not rely on moving parts to acquire spectral information. The technical difficulties that restrict the application of LASIS are the accurate acquisition of interferograms and accurate reconstruction of spectrum
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