Real-Time Simulation and Sensor Performance Evaluation of Space-Based Infrared Point Target Group
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Published:2023-08-30
Issue:17
Volume:13
Page:9794
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ISSN:2076-3417
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Container-title:Applied Sciences
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language:en
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Short-container-title:Applied Sciences
Author:
Gong Chao123, Rao Peng12, Li Yejin12
Affiliation:
1. Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China 2. Key Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai 200083, China 3. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract
Small space targets are usually present in the form of point sources when observed by space-based sensors. To ease the difficulty of obtaining real observation images and overcome the limitations of the existing Systems Tool Kit/electro-optical and infrared sensors (STK/EOIR) module in supporting the display and output of point target observation results from multiple platforms of the constellation, a method is provided for the fast simulation of point target groups using EOIR combined with external computation. A star lookup table based on the Midcourse Space Experiment (MSX) infrared astrometry catalog is established by dividing the grid to generate the background. A Component Object Model (COM) is used to connect STK to enable the rapid deployment and visualization of complex simulation scenarios. Finally, the automated output of simulated images and infrared information is achieved. Simulation experiments on point targets show that the method can support 20 sensors to image groups of targets at 128 × 128 resolution and achieve 32 frames of real-time output at 1 K × 1 K resolution, providing an effective approach to spatial situational awareness and the building of target infrared datasets.
Funder
Innovation Project of Shanghai Institute of Technical Physics of the Chinese Academy of Sciences
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference44 articles.
1. Gartley, M.G. (2007). Polarimetric Modeling of Remotely Sensed Scenes in the Thermal Infrared. [Ph.D. Thesis, Chester F. Carlson Center for Imaging Science]. 2. Latger, J., Cathala, T., Douchin, N., and Goff, A.L. (2007, January 9–13). Simulation of active and passive infrared images using the SE-WORKBENCH. Proceedings of the Defense & Security Symposium, Orlando, FL, USA. 3. Murrer, R., Thompson, R.A., and Coker, C.F. (1998). Recent Technology Developments for the Kinetic Kill Vehicle Hardware-In-The-Loop Simulator (KHILS), Air Force Research Laboratory. 4. Nelsson, C., Hermansson, P., Nyberg, S., Persson, A., Persson, R., Sjökvist, S., and Winzell, T.J. (2006, January 11–14). Optical signature modeling at FOI. Proceedings of the Optics/Photonics in Security and Defence, Stockholm, Sweden. 5. Savage, J., Coker, C., Edwards, D., Thai, B., and Kim, C.J. (2006, January 17–21). Irma 5.1 multi-sensor signature prediction model-art. no. 62390C. Proceedings of the Optics/Photonics in Security and Defence, Orlando, FL, USA.
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