학술논문

Imaging Chain Modeling and a Scaling Experiment for Optical Remote Sensing of Lunar Surface
Document Type
Periodical
Source
IEEE Transactions on Instrumentation and Measurement IEEE Trans. Instrum. Meas. Instrumentation and Measurement, IEEE Transactions on. 73:1-13 2024
Subject
Power, Energy and Industry Applications
Components, Circuits, Devices and Systems
Imaging
Moon
Optical sensors
Optical imaging
Remote sensing
Instruments
Optical scattering
Imaging chain modeling
optical instrument calibration
remote-sensing camera
scaling physical experiment
Language
ISSN
0018-9456
1557-9662
Abstract
Lunar exploration has drawn attention all over the world, and remote sensing of the lunar surface through the satellite’s optical camera is one of the most important ways to provide scientific data. Although on-orbit measurement is the ultimate goal, lunar exploration is a huge cost project, so researchers should take on-ground simulations and experiments to evaluate the performance of the optical instrument and provide basic references before launch. In this article, we propose an optical imaging chain modeling algorithm that focuses on the physical imaging process from light scattering among the 3-D lunar surface to the optical instrument’s output digital value (DV). Compared to other optical signal measurement simulations, we make progress in considering the 3-D structure of the observed scene, the spectral property of the imaging parameters, and corresponding absolute calibration methods. The proposed method is verified in a scaling experiment for lunar optical remote sensing with a calibrated optical camera, simulated moon soil, and a parallel light source. We compare the imaging simulation results with the experiment results for directly illuminated lunar regions, shadowed lunar regions, and multispectral imaging tasks, and the results show average relative errors (REs) around 2.4%, 11.5%, and 4.3% and coefficients of determination around 0.972, 0.942, and 0.915 for the three cases, respectively. Both the modeling algorithm and the scaling experiment will provide basic analysis for optical imaging in lunar remote sensing before the execution of a real project.