Airborne spectrographic imager data observation process and preprocessing

Wenhuan Wu; Piyuan Yi; Shutao Huang

doi:10.1117/12.2623394

27 March 2022 Airborne spectrographic imager data observation process and preprocessing

Wenhuan Wu, Piyuan Yi, Shutao Huang

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121692Y (2022) https://doi.org/10.1117/12.2623394
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

Hyperspectral remote sensing has been widely used in many fields such as ecological environment, geological survey, target detection and so on. The premise of hyperspectral remote sensing application is to obtain high-quality quantitative remote sensing data. Due to the limited number of hyperspectral satellite payloads, airborne hyperspectral remote sensing has played a leading role in hyperspectral applications because it can obtain higher spatial resolution data and higher work efficiency. This article elaborates on the important links of the hyperspectral data acquisition process and data preprocessing process, as well as the working principle and theoretical basis of the sensor. Give scientific research workers an intuitive and scientific understanding of the data production process. Research content ranging from the spectrographic imager components, laboratory calibration, installation, mission planning, engineer 's instrument operation on the plane and data preprocessing.

Citation Download Citation

Wenhuan Wu, Piyuan Yi, and Shutao Huang "Airborne spectrographic imager data observation process and preprocessing", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121692Y (27 March 2022); https://doi.org/10.1117/12.2623394

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