Physically Based Model for Multispectral Image Simulation of Earth Observation Sensors

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 10, Issue 5, 2017, Pages 1897-1908

  He, Xiaoyu ^a   Xu, Xiaojian ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Earth observation sensor; infrared image simulation; multispectral image; physically based model; radiative transfer calculation

Indexed keywords

COMPUTATIONAL EFFICIENCY; EFFICIENCY; IMAGE RECONSTRUCTION; PIXELS; RADIATIVE TRANSFER; RADIOMETERS; SATELLITE IMAGERY; TABLE LOOKUP; VISIBILITY;

ATMOSPHERIC RADIANCE; ATMOSPHERIC RADIATIVE TRANSFER; COLUMNAR WATER VAPORS; COMPUTATIONAL BURDEN; EARTH OBSERVATION SENSORS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; PHYSICALLY BASED MODELING; RELATIVE AZIMUTH ANGLE;

WATER VAPOR;

ACCURACY ASSESSMENT; COMPUTER SIMULATION; EOS; IMAGE ANALYSIS; MODIS; MULTISPECTRAL IMAGE; PIXEL; RADIATIVE TRANSFER; SENSOR; SPATIAL RESOLUTION;

EID: 85012952410     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2017.2658678     Document Type: Article

References (55)

1. L. Guanterx et al., "The EnMAP spaceborne imaging spectroscopy missionfor earth observation, " Remote Sens., vol. 7, pp. 8830-8857, Jul. 2015.
2. E. J. Hochberg, D. A. Roberts, P. E. Dennison., G. C. Hulley, "Specialissue on the hyperspectral infrared imager (HyspIRI): Emerging sciencein terrestrial and aquatic ecology, radiation balance and hazards, " RemoteSens. Environ., vol. 167, pp. 1-5, 2015.
3. D. Drusch et al., "Sentinel-2: ESA's optical high-resolution mission forGMES operational services, " Remote Sens. Environ., vol. 120, pp. 25-36, 2012.
4. C. Donlon et al., "The global monitoring for environment and security(GMES) sentinel-3 mission, " Remote Sens. Environ., vol. 120, pp. 37-57, 2012.
5. S. Jia, Z. Ji, Y. Qian., L. Shen, "Unsupervised band selection forhyperspectral imagery classification without manual band removal, " IEEEJ. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 2, pp. 531-543, Apr. 2012.
6. J. M. Bioucas-Dias et al., "Hyperspectral unmixing overview: Geometrical, statistical., sparse regression-based approaches, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 2, pp. 354-379, Apr. 2012.
7. S. Matteoli, M. Diani., J. Theiler, "An overview of background modelingfor detection of targets and anomalies in hyperspectral remotely sensedimagery, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 6, pp. 2317-2336, Jun. 2014.
8. Y. Chen, X. Zhao., X. Jia, "Spectral-spatial classification of hyperspectraldata based on deep belief network, " IEEE J. Sel. Topics Appl. EarthObserv. Remote Sens., vol. 8, no. 6, pp. 2381-2392, Jun. 2015.
9. K. Segl et al., "EeteS-The EnMAP end-to-end simulation tool, " IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 2, pp. 522-530, Apr. 2012.
10. K. Segl et al., "S2eteS: An end-to-end modeling tool for the simulationof sentinel-2 image products, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 10, pp. 5560-5571, Oct. 2015.
11. W. Verhoef and H. Bach, "Simulation of sentinel-3 images by four-streamsurface-atmosphere radiative transfer modeling in the optical and thermaldomains, " Remote Sens. Environ., vol. 120, pp. 197-207, 2012.
12. A. Borner et al., "SENSOR: A tool for the simulation of hyperspectralremote sensing systems, " ISPRS J. Photogramm. Remote Sens., vol. 55, no. 5-6, pp. 299-312, 2001.
13. M. E. Schaepman et al., "Advanced radiometry measurements and earthscience applications with the airborne prism experiment (APEX), " RemoteSens. Environ., vol. 158, pp. 207-219, 2015.
14. W. Verhoef and H. Bach, "Simulation of hyperspectral and directional radianceimages using coupled biophysical and atmospheric radiative transfermodels, " Remote Sens. Environ., vol. 87, pp. 23-41, 2003.
15. J. Vicent et al., "FLEX end-to-end mission performance simulator, " IEEETrans. Geosci. Remote Sens., vol. 54, no. 7, pp. 4215-4222, Nov. 2016.
16. M. Parente, J. T. Clark, A. J. Brown., J. L. Bishop, "End-to-end simulationand analytical model of remote-sensing systems: Application toCRISM, " IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 3877-3888, Nov. 2010.
17. J. R. Schott, S. D. Brown, R. V. Raqueno, H. N. Gross., G. Robinson, "An advanced synthetic image generation model and its applicationto multi/hyperspectral algorithm development, " Can. J. Remote Sens., vol. 25, no. 2, pp. 99-111, Jun. 1999.
18. S. A. Cota et al., "PICASSO: An end-to-end image simulation tool forspace and airborne imaging systems, " J. Appl. Remote Sens., vol. 4, pp. 1-36, Jun. 2010.
19. J. P. Gastellu-Etchegorry, E. Martin., F. Gascon, "DART: A 3-D modelfor simulating satellite images and studying surface radiation budget, " Int. J. Remote Sens., vol. 25, no. 1, pp. 73-96, Jan. 2004.
20. Y. Liu, W. Zhang., B. Zhang, "Top-of-atmosphere image simulation inthe 4. 3-m mid-infrared absorption bands, " IEEE Trans. Geosci. RemoteSens., vol. 54, no. 1, pp. 452-465, Jan. 2016.
21. Y. Zhang, X. Yu, G. Wang., X. Zhou, "Independent component analysisbased band selection of multispectral remote sensing image, " in Proc. IEEE Int. Symp. Geosci. Remote Sens., 2014, vol. 1, pp. 517-520.
22. T. Veracini, S. Matteoli, M. Diani., G. Corsini, "Robust hyperspectralimage segmentation based on a non-Gaussian model, " in Proc. 2010 2ndInt. Workshop Cogn. Inf. Process., 2010, vol. 1, pp. 192-197.
23. H. E. M. Viggh and D. H. Staelin, "Spatial surface prior informationreflectance estimation (SPIRE) algorithms, " IEEE Trans. Geosci. RemoteSens., vol. 41, no. 11, pp. 2424-2435, Nov. 2003.
24. S. W. Wharton, "A spectral-knowledge-based approach for urban landcoverdiscrimination, " IEEE Trans. Geosci. Remote Sens., vol. GE-25, no. 3, pp. 272-282, May 1987.
25. J. Settle, "On constrained energy minimization and the partial unmixing ofmultispectral images, " IEEE Trans. Geosci. Remote Sens., vol. 40, no. 3, pp. 718-712, Mar. 2002.
26. L. Guanter, R. Richter., H. Kaufmann, "On the application of theMODTRAN4 atmospheric radiative transfer code to optical remote sensing, "Int. J. Remote Sens., vol. 30, no. 6, pp. 1407-1424, Mar. 2009.
27. L. Guanter, K. Segl., H. Kaufmann, "Simulation of optical remotesensingscenes with application to the EnMAP hyperspectral mission, "IEEE Trans. Geosci. Remote Sens., vol. 47, no. 7, pp. 2340-2351, Jul. 2009.
28. X. He and X. Xu, "Fast calculation of scattered radiance in multispectralimagery simulation, " in Proc. SPIE, Infrared Remote Sens. Instrum. XXIII, 2015, vol. 9608, no. 96080O, pp. 1-11.
29. U. S. Geological Survey (USGS). (2012, Feb. ). Global Land CoverCharacterization Data Base Version 2. 0. [Online]. Available: Http://edc2. usgs. gov/glcc/globdoc2-0. php
30. D. E. Bowker, R. E. Davis, D. L. Myrick, K. Stacy., W. T. Jones, SpectralReflectances of Natural Targets for Use in Remote Sensing Studies. Washington, DC, USA: NASA, Ref. Publication RP-1139, Jun. 1985.
31. R. N. Clark et al. (2007, Sep. ). USGS Digital Spectral Library splib06a:U. S. Geological Survey, Digital Data Series 231. USGS, Reston, VA. [Online]. Available: Http://speclab. cr. usgs. gov/spectral. lib06
32. Z. Wan. (1999, Nov. ). MODiS UCSB Emissivity Library. Inst. for Comput. Earth Syst. Sci. [Online]. Available: Http://www. icess. ucsb. edu/modis/EMIS/html/em. html
33. C. Amante and B. W. Eakins, "ETOPO1 1 arc-minute global relief model:Procedures, data source and analysis, " NOAA, Boulder, CO, USA, Tech. Memorandum NESDiS NGDC-24, Mar. 2009.
34. R. J. Hijmans, S. E. Cameron, J. L. Parra, P. G. Jones., A. Jarvis, "Veryhigh resolution interpolated climate surfaces for global land areas, " Int. J. Climatol., vol. 25, pp. 1965-1978, Sep. 2005.
35. G. Feldman and N. Kuring. (2014). Sea Surface Temperature(1 Month-AQUA/MODiS). NASA Ocean Color Group, Washington, DC, USA. [Online]. Available: Http://neo. sci. gsfc. nasa. gov/view. phpdatasetId=MYD28M
36. R. Muller and E. Muller (2012, Dec. ). Berkeley Earth Surface Temperature. Berkeley Earth, Berkeley, CA. [Online]. Available: Http://berkeleyearth. org/source-files/
37. C. O. Justice et al., "The moderate resolution imaging spectroradiometer(MODiS): Land remote sensing for global change research, " IEEE Trans. Geosci. Remote Sens, vol. 36, no. 4, pp. 1228-1249, Jul. 1998.
38. C. Cao, F. J. De Luccia, X. Xiong, R. Wolfe., F. Weng, "Early on-orbitperformance of the visible infrared imaging radiometer suite onboard thesuomi national polar-orbiting partnership (S-NPP) satellite, " IEEE Trans. Geosci. Remote Sens, vol. 52, no. 2, pp. 1142-1156, Feb. 2014.
39. X. Shi and X. Xu, "Impact of background radiation on the detectionperformance of interceptor seekers, " Syst. Eng. Electron., vol. 32, no. 10, pp. 2053-2056, Oct. 2010.
40. B. J. Cooke et al., "Modeling the MTI electro-optic system sensitivityand resolution, " IEEE Trans. Geosci. Remote Sens., vol. 43, no. 9, pp. 1950-1962, Sep. 2005.
41. H. Rahman, B. Pinty., M. M. Verstraete, "Coupled surface atmospherereflectance (CSAR) model 2. Semiempirical surface model usable withNOAA advanced very high resolution radiometer data, " J. Geophys. Res., vol. 98, no. D11, pp. 20791-20801, Nov. 1993.
42. I. Sola, M. G. Audicana, J. A. Mozos., J. L. Torres, "Synthetic imagesfor evaluating topographic correction algorithms, " IEEE Trans. Geosci. Remote Sens, vol. 52, no. 3, pp. 1799-1810, Mar. 2014.
43. J. Wen, Q. Liu, Q. Liu, Q. Xiao., X. Li, "Parametrized BRDF foratmospheric and topographic correction and albedo estimation in Jiangxirugged terrain, China, " Int. J. Remote Sens., vol. 30, no. 11, pp. 2875-2896, Jun. 2009.
44. G. S. Johnson, J. Lee, C. A. Burns., W. R. Mark, "The irregularZ-buffer: Hardware acceleration for irregular data structures, " ACMTrans. Graph., vol. 24, no. 4, pp. 1462-1482, Oct. 2005.
45. T. R. Loveland et al., "Development of a global land cover characteristicsdatabase and IGBP DiSCover from 1 km AVHRR data, " Int. J. RemoteSens., vol. 21, no. 6 and 7, pp. 1303-1330, 2000.
46. A. C. Wilber, D. P. Kratz., S. K. Gupta, "Surface emissivity maps foruse in satellite retrievals of longwave radiation, " NASA, Hampton, VA, USA, NASA/TP-1999-209362, Aug. 1999.
47. W. M. Cornette, J. M. Alfred., J. M. Goldspiel, Moderate SpectralAtmospheric Radiance and Transmittance (MOSART) Code TechnicalReference Manual Part 2: Terrain, Hydrometeors, Electrical DischargePhenomena, Oceans., Space, NRL, Washington, DC, USA, Tech. Ref. Man. MOSART-NRL-DOC-TRM-001-1103031, Mar. 2011.
48. A. Berk, L. S. Bernstein., D. C. Robertson, "MODTRAN: A moderateresolution model for LOWTRAN7, " AFGL, Burlington, MA, USA, Tech. Rep. AFGL-TR-89-0122, Jul. 08, 1987.
49. E. F. Vermote, D. Tanre, L. Deuze, M. Herman., J. Morcrette, "Secondsimulation of the satellite signal in the solar spectrum, 6S: An overview, "IEEE Trans. Geosci. Remote Sens, vol. 35, no. 3, pp. 675-686, May 1997.
50. P. Ricchiazzi, S. Yang, C. Gautier., D. Sowle, "SBDART: A researchand teaching software tool for plane parallel radiative transfer in the earth'satmosphere, " Bull. Amer. Meteorol. Soc., vol. 79, no. 10, pp. 2010-2114, May 1998.
51. E. P. Shettle and R. W. Fenn, "Models for the aerosols of the lower atmosphereand the effects of humidity variations on their optical properties, "AFGL, Hanscom AFB, MA, USA, Tech. Rep. AFGL-TR-79-0214, Sep. 20, 1979.
52. D. Brunet, E. R. Vrscay., Z. Wang, "On the mathematical propertiesof the structural similarity index, " IEEE Trans. Image Process., vol. 21, no. 4, pp. 1488-1499, Apr. 2012.
53. Z. Wang, A. C. Bovik, H. R. Sheikh., E. P. Simoncelli, "Image qualityassessment: From error visibility to structural similarity, " IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-606, Apr. 2004.
54. G. N. Toller, A. Isaacman, J. Kuyper., X. Geng. (2012, Jul. ). MODiSlevel 1B Product User's Guide for Level 1B Version 6. 1. 14 (Terra) andVersion 6. 1. 17 (Aqua). NASA, Greenbelt, MD, MCST Document, PUB-01-U-0202-REV D. [Online]. Available: Http://ladsweb. nascom. nasa. gov
55. T. S. Pagano and R. M. Durhan, "Moderate resolution imaging spectroradiometer(MODiS), " in Proc. SPIE, Sensor Syst. Early Earth ObservingSyst. Platforms, 1993, vol. 1939, pp. 2-17.