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.
Multi-pulse technology of airborne light detection and ranging (LIDAR) system is on the rise in recent years. A flight experiment in high elevation difference area was done by using LiDAR single-pulse and multi-pulse mode. The data acquisition can be completed successfully with low point density by using the single-pulse mode, while can’t be completed with multi-pulse mode for the influence of blind zone and atmospheric margin although it has a high point density. It is proved that multi-pulse mode has an advantage in point density but the influence of atmospheric margin must be avoided. Through elevation analysis and rational flight line design, a survey task in high elevation difference area was completed with good effect.
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