论文标题

用于多光谱和高光谱图像融合的JWST数据集

Simulated JWST datasets for multispectral and hyperspectral image fusion

论文作者

Guilloteau, Claire, Oberlin, Thomas, Berné, Olivier, Dobigeon, Nicolas

论文摘要

本文旨在提供一个全面的框架来产生天体物理场景,并模拟两种JWST仪器(即Nircam Imager和Nirspec IFU)获取的现实高光谱和多光谱数据。我们想证明,可以诉诸该模拟框架来评估融合这些图像以恢复高空间和光谱分辨率图像的好处。为此,我们创建了一个与规范红外源The Orion Bar相关的合成场景。该场景结合了JWST早期发行科学计划1288提供的预先存在的建模光谱以及Hubble Space和Alma望远镜的真正高分辨率空间图。我们根据其技术设计和物理功能开发了前向模型,包括两个JWST仪器的相应噪声。然后,通过将正向模型应用于上述合成场景来模拟JWST观察。我们测试了我们在这些模拟观察结果上开发的专用融合算法。我们显示了融合过程在大多数领域重建了高时空分辨率的场景,并且我们确定了未来工作中要解决的方法的某些局限性。本文中提出的合成场景和观察结果可公开可用,例如用于评估仪器模型(在JWST上或地面上),管道或更复杂的算法专用于JWST数据分析。此外,诸如本文介绍的融合方法诸如融合方法被证明是充分利用JWST前所未有的功能的有前途的工具。

This paper aims at providing a comprehensive framework to generate an astrophysical scene and to simulate realistic hyperspectral and multispectral data acquired by two JWST instruments, namely NIRCam Imager and NIRSpec IFU. We want to show that this simulation framework can be resorted to assess the benefits of fusing these images to recover an image of high spatial and spectral resolutions. To do so, we create a synthetic scene associated with a canonical infrared source, the Orion Bar. This scene combines pre-existing modelled spectra provided by the JWST Early Release Science Program 1288 and real high resolution spatial maps from the Hubble space and ALMA telescopes. We develop forward models including corresponding noises for the two JWST instruments based on their technical designs and physical features. JWST observations are then simulated by applying the forward models to the aforementioned synthetic scene. We test a dedicated fusion algorithm we developed on these simulated observations. We show the fusion process reconstructs the high spatio-spectral resolution scene with a good accuracy on most areas, and we identify some limitations of the method to be tackled in future works. The synthetic scene and observations presented in the paper are made publicly available and can be used for instance to evaluate instrument models (aboard the JWST or on the ground), pipelines, or more sophisticated algorithms dedicated to JWST data analysis. Besides, fusion methods such as the one presented in this paper are shown to be promising tools to fully exploit the unprecedented capabilities of the JWST.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源