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作 者:刘劲[1,2] 徐玉豪 尤伟[3] 陈晓[3] 张子军 马辛[2] LIU Jin;XU Yuhao;YOU Wei;CHEN Xiao;ZHANG Zijun;MA Xin(College of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;School of Instrumentation and Optoelectronic Engineering,Beihang University,Beijing 100191,China;Shanghai Institute of Satellite Engineering,Shanghai 201109,China)
机构地区:[1]武汉科技大学信息科学与工程学院,武汉430081 [2]北京航空航天大学仪器科学与光电工程学院,北京100191 [3]上海卫星工程研究所,上海201109
出 处:《宇航学报》2024年第2期273-282,共10页Journal of Astronautics
基 金:国家自然科学基金(61873196,62373030,61772187);科技创新2030-“量子通信与量子计算机”重大项目(2021ZD0303400)。
摘 要:为了提供天文多普勒差分测速所需的同步太阳/行星光谱对,提出了一种变分自编码器(VAE)和对偶生成对抗网络(Dual GAN)相融合的VAE-Dual GAN。首先,实测太阳光谱经过VAE编码到隐空间,实现了光谱到光谱域的扩充;然后,由Dual GAN将隐空间映射到伪行星光谱;最后,利用伪行星光谱生成重构太阳光谱。此外,利用编码和生成重建损失加强对网络的约束。VAE-Dual GAN利用Dual GAN的转换学习能力完成了两个光谱域的转换,生成同步太阳/行星光谱对。实验结果表明,VAE-Dual GAN可生成高质量的太阳/行星光谱对,将天文多普勒差分测速精度提高60%以上。In order to provide synchronous solar/planetary spectral pairs required for the celestial Doppler differential velocimetry,a VAE-Dual GAN,which combines variational auto encoder(VAE)with dual generative adversarial networks(Dual GAN)is proposed.Firstly,the measured solar spectrum is encoded into the latent space by VAE,which realizes the expansion from spectrum to spectral domain.Then,the latent space is mapped to the pseudo-planetary spectrum by Dual GAN.Finally,the reconstructed solar spectrum is generated by using the pseudo-planetary spectrum.Furthermore,the encoder and generator reconstruction losses are used to strengthen the constraints on the network.VAE-Dual GAN utilizes the conversion learning ability of Dual GAN to complete the transformation of two spectral domains and generate synchronous solar/planetary spectral pairs.The experimental results show that the VAE-Dual GAN generates high-quality solar/planetary spectral pairs,the accuracy of celestial Doppler differential velocity measurement is improved by more than 60%.
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