Development and key technologies of spaceborne hyperspectral imaging payload

doi:10.11947/j.AGCS.2023.20220498

Abstract

Abstract: As spaceborne hyperspectral remote sensing technology is able to rapidly identify ground objects over a wide range based on spectrum characteristics, it has the potential to be widely used in natural resource exploration, ecological environment protection, precision agriculture, carbon emission monitoring, real-time detection of the Earth's surface anomalies. There has been an increasing emphasis on the research and development of hyperspectral imaging technology since NASA produced the first airborne hyperspectral imager in the early 1980s. Although the development of spaceborne hyperspectral payloads is more complex than that of airborne hyperspectral payloads, it has become the commanding height of science and technology in the international competition and also an important means for humans to detect the planet and perceive everything due to its enormous application value in rapid detection and identification on a global scale. The successful launch of our country's GF-5 satellite has elevated the international standard of spaceborne hyperspectral imaging technology to a new height, which contributes to many breakthroughs made in the application of carbon emission, soil organic matter, soil heavy metal pollution, trace pollution of water quality and large-scale deep earth prospecting. This article reviews the evolution of spaceborne hyperspectral payload technology, as well as summarizes the main points, key technologies, and applications of spaceborne hyperspectral payload with wide-spectrum and large-range. In addition, based on our team's actual research effort in this field over many years, several important development directions and key technologies have been proposed, such as geostationary orbit hyperspectral, fluorescence ultra-spectral, real-time hyperspectral detection, and so on, which will provide some essential and useful references for the key advancements of spaceborne hyperspectral payload research.

Key words: satellite remote sensing, hyperspectral imaging, geostationary orbit, fluorescence ultra-spectral, real-time remote sensing

CLC Number:

P237

LIU Yinnian, XUE Yongqi. Development and key technologies of spaceborne hyperspectral imaging payload[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(7): 1045-1058.

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