With the development of remote sensing technology, true-color visualization of hyperspectral LiDAR echo signals has become a hotspot for both academic research and commercial applications. The limitation of the emission power of hyperspectral LiDAR causes the loss of spectral-reflectance information in some channels of the hyperspectral LiDAR echo signal. The color reconstructed based on the hyperspectral LiDAR echo signal is bound to have serious color cast problem. To solve the existing problem, a spectral missing color correction approach based on adaptive parameter fitting model is proposed in this study. Given the known missing spectral-reflectance band intervals, the colors in incomplete spectral integration are corrected to accurately restore target colors. Based on the experimental results, the color difference between color blocks and the hyperspectral image corrected by the proposed color correction model is smaller than that of the ground truth, and the image quality is higher, realizing the accurate reproduction of the target color.

Spectral reconstruction is an important way to acquire a high-spatial-resolution multispectral image, and the spectral reconstruction algorithm is the key to its implementation. This work conducts a comparative study of spectral reconstruction algorithms under different asymmetric influencing factors to provide an overview of their performance. Seventeen spectral reconstruction algorithms with different mathematical bases were implemented and compared regarding their adaptability to response format, imaging noise, spectra type, exposure change, and the quality of the reconstructed images. Based on the principles and characteristics of the algorithm, qualitative and quantitative statistical analyses of the results were carried out. Results show that most of the current algorithms: (1) are adaptive to raw and image signal processing (ISP) responses for spectral reconstruction, (2) decrease their spectral reconstruction accuracy with an increase in imaging noise, (3) give poor performance in reconstructing smooth spectra using non-smooth spectra, and (4) exhibit different degrees of sensitivity to exposure changes. In addition, the image quality reconstructed using the raw response is superior to the ISP response.