The radiometric calibration accuracy of a hyperspectral imager is a key link in its quantitative application. The side-slither radiometric calibration can realize the high-frequency and full field of view relative radiometric correction of the hyperspectral imager, which lays the foundation for the subsequent quantitative application of hyperspectral data. In this paper, a hyperspectral imager relative radiometric calibration method and data processing method based on satellite platform 90° yaw maneuver is proposed. A verification of this method is carried out based on the in-orbit data of Ziyuan1(02D) satellite. The results show that the proposed method has good performance for relative radiometric calibration. The relative radiometric calibration accuracy of all the sensor pixels can reach 1%, and the fringe noise in the original image is well removed.
Spaceborne hyperspectral images are expected to have abundant applications in various fields, particularly in the quantitative observation of the Earth. However, the problem of low spatial resolution has limited their effectiveness to some extent. There are urgent needs for high-spatial-resolution hyperspectral images. We explore fusing the hyperspectral image with panchromatic and multispectral images captured by sensors onboard ZY-1 (02D) to obtain high-spatial-resolution and high-spectral-resolution images. Four approaches to obtain the final high-spatial-resolution hyperspectral image data are proposed, and six fusion methods are used. The fusion results were evaluated using quantitative indicators and classification performance, and image quality greatly improved after fusion. The fusion approach that used multispectral image data as an intermediate layer twice in the fusion process obtained the best fusion effect, and this was verified by both quantitative and application evaluation results. This provides an effective approach to obtain a high-quality, high-spatial-resolution hyperspectral image using the combination of panchromatic, multispectral, and hyperspectral images acquired by the sensors onboard ZY-1(02D).
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