Physically Based Model for Multispectral Image Simulation of Earth Observation Sensors
作者： Xiaoyu He , Xiaojian Xu
DOI: 10.1109/JSTARS.2017.2658678
关键词:
摘要: Physically based multispectral image simulation consists of sensor system modeling, bottom-of-atmosphere (BOA) generation, and top-of-atmosphere (TOA) calculation. TOA radiance images are usually generated using a lookup table (LUT) for computational efficiency, which is calculated by means atmospheric radiative transfer codes with different combination input variables, including viewing zenith, solar relative azimuth angles; visibility; columnar water vapor; ground elevation. In this paper, new strategy proposed simulation, where transmitted surface at the calculated, respectively, to improve accuracy as well efficiency. The obtained from pixel-by-pixel calculation BOA path transmittance. calculating TOA, two LUTs built emitted scattered each layer, respectively. effects visibility vapor on characterized an equivalent transmittance, related scene geometry thickness layer. way, when simulated, except three i.e., zenith angles layer number, other parameters set constants in building LUTs, enabling more combinations variables without adding excessive burden. Multispectral bands moderate spatial resolution simulated compared moderate-resolution imaging spectroradiometer (MODIS) demonstrate usefulness strategy.
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sci-hub.se 参考文章(46)
Bradly J Cooke, Terrence S Lomheim, Bryan E Laubscher, Jeffrey L Rienstra, William B Clodius, Steve C Bender, Paul G Weber, Barham W Smith, John L Vampola, Paul J Claassen, Mary Ballard, Amy E Galbraith, Christoph C Borel, William H Atkins, None, Modeling the MTI electro-optic system sensitivity and resolution IEEE Transactions on Geoscience and Remote Sensing. ,vol. 43, pp. 1950- 1963 ,(2005) , 10.1109/TGRS.2005.847922
Wout Verhoef, Heike Bach, Simulation of Sentinel-3 images by four-stream surface-atmosphere radiative transfer modeling in the optical and thermal domains Remote Sensing of Environment. ,vol. 120, pp. 197- 207 ,(2012) , 10.1016/J.RSE.2011.10.034
José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon, Mario Parente, Qian Du, Paul Gader, Jocelyn Chanussot, Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. ,vol. 5, pp. 354- 379 ,(2012) , 10.1109/JSTARS.2012.2194696
H.E.M. Viggh, D.H. Staelin, Spatial surface prior information reflectance estimation (SPIRE) algorithms IEEE Transactions on Geoscience and Remote Sensing. ,vol. 41, pp. 2424- 2435 ,(2003) , 10.1109/TGRS.2003.818874
J. Settle, On constrained energy minimization and the partial unmixing of multispectral images IEEE Transactions on Geoscience and Remote Sensing. ,vol. 40, pp. 718- 721 ,(2002) , 10.1109/TGRS.2002.1000332
Paul Ricchiazzi, Shiren Yang, Catherine Gautier, David Sowle, SBDART: A Research and Teaching Software Tool for Plane-Parallel Radiative Transfer in the Earth's Atmosphere. Bulletin of the American Meteorological Society. ,vol. 79, pp. 2101- 2114 ,(1998) , 10.1175/1520-0477(1998)079<2101:SARATS>2.0.CO;2
Karl Segl, Luis Guanter, Ferran Gascon, Theres Kuester, Christian Rogass, Christian Mielke, S2eteS: An End-to-End Modeling Tool for the Simulation of Sentinel-2 Image Products IEEE Transactions on Geoscience and Remote Sensing. ,vol. 53, pp. 5560- 5571 ,(2015) , 10.1109/TGRS.2015.2424992
Jorge Vicent, Neus Sabater, Carolina Tenjo, Juan Ramon Acarreta, Maria Manzano, Juan Pablo Rivera, Pedro Jurado, Raffaella Franco, Luis Alonso, Jochem Verrelst, Jose Moreno, FLEX End-to-End Mission Performance Simulator IEEE Transactions on Geoscience and Remote Sensing. ,vol. 54, pp. 4215- 4223 ,(2016) , 10.1109/TGRS.2016.2538300
XU Xiao-jian, Impact of background radiation on the detection performance of interceptor seekers Systems engineering and electronics. ,(2010)
Eric J. Hochberg, Dar A. Roberts, Philip E. Dennison, Glynn C. Hulley, Special issue on the Hyperspectral Infrared Imager (HyspIRI): Emerging science in terrestrial and aquatic ecology, radiation balance and hazards Remote Sensing of Environment. ,vol. 167, pp. 1- 5 ,(2015) , 10.1016/J.RSE.2015.06.011