Study on radiometric intercalibration methods for DMSP-OLS night-time light imagery

International Journal of Remote Sensing

Volumn 37, Issue 16, 2016, Pages 3675-3695

  Li, Chang ^a   Ye, Jia ^a   Li, Shice ^a   Chen, Guangping ^a   Xiong, Hao ^a  

^a CENTRAL CHINA NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; MEAN SQUARE ERROR; PIXELS; RADIOMETRY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

DEFENSE METEOROLOGICAL SATELLITE PROGRAM / OPERATIONAL LINESCAN SYSTEM; LEAST MEDIAN OF SQUARES; MULTI-TEMPORAL ANALYSIS; RADIOMETRIC CALIBRATIONS; RANDOM SAMPLE CONSENSUS; ROOT MEAN SQUARE ERRORS; STATE-OF-THE-ART METHODS; TEMPORAL AND SPATIAL DISTRIBUTION;

LEAST SQUARES APPROXIMATIONS;

ACCURACY ASSESSMENT; ALGORITHM; CALIBRATION; LEAST SQUARES METHOD; PIXEL; RADIOMETER; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL DISTRIBUTION; TEMPORAL DISTRIBUTION;

EID: 84978880178     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2016.1201232     Document Type: Article

References (33)

1. J.Bennie,, T.W.Davies, J.P.Duffy, R.Inger, and K.J.Gaston. 2014. “Contrasting Trends in Light Pollution across Europe Based on Satellite Observed Night Time Lights.” Scientific Reports 4. doi:10.1038/srep03789.
2. M.J.Canty,, and A.A.Nielsen. 2008. “Automatic Radiometric Normalization of Multitemporal Satellite Imagery with the Iteratively Re-Weighted MAD Transformation.” Remote Sensing of Environment 112 (3): 1025–1036. doi:10.1016/j.rse.2007.07.013.
3. M.J.Canty,, A.A.Nielsen, and M.Schmidt. 2004. “Automatic Radiometric Normalization of Multitemporal Satellite Imagery.” Remote Sensing of Environment 91 (3–4): 441–451. doi:10.1016/j.rse.2003.10.024.
4. Chen, X., and W. D. Nordhaus. 2011. “Using Luminosity Data as a Proxy for Economic Statistics.” Proceedings of the National Academy of Sciences of the United States of America 108 (21): 8589–8594.
5. S.Choi,, T.Kim, and W.Yu. 1997. “Performance Evaluation of RANSAC Family.” Journal of Computer Vision 24 (3): 271–300. doi:10.1023/A:1007927408552.
6. Derpanis, K. G. 2010. “Overview of the RANSAC Algorithm.” Image Rochester NY 4 (1): 2–3.
7. Y.Du,, P.M.Teillet, and J.Cihlar. 2002. “Radiometric Normalization of Multitemporal High-Resolution Satellite Images with Quality Control for Land Cover Change Detection.” Remote Sensing of Environment 82 (1): 123–134. doi:10.1016/S0034-4257(02)00029-9.
8. E.M.Elhadi,, and E.E.Ibrahim. 2010. “Investigation of the Influence of Systematic Errors in Least Squares Estimation.” Journal of American Science 6 (5): 118–123.
9. C.D.Elvidge,, K.E.Baugh, J.B.Dietz, T.Bland, P.C.Sutton, and H.W.Kroehl. 1999. “Radiance Calibration of DMSP-OLS Low-Light Imaging Data of Human Settlements.” Remote Sensing of Environment 68 (1): 77–88. doi:10.1016/S0034-4257(98)00098-4.
10. C.D.Elvidge,, J.Safran, I.Nelson, B.Tuttle, V.Ruth Hobson, K.Baugh, J.Dietz, E.Erwin, R.Lunetta, and J.Lyon. 2004. Area and Positional Accuracy of DMSP Nighttime Lights Data. Boca Raton, FL: CRC Press.
11. C.D.Elvidge,, D.Ziskin, K.E.Baugh, B.T.Tuttle, T.Ghosh, D.W.Pack, E.H.Erwin, and M.Zhizhin. 2009. “A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data.” Energies 2 (3): 595–622. doi:10.3390/en20300595.
12. M.A.Fischler,, and R.C.Bolles. 1981. “Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography.” Communications of the ACM 24 (6): 381–395. doi:10.1145/358669.358692.
13. F.G.Hall,, D.E.Strebel, J.E.Nickeson, and S.J.Goetz. 1991. “Radiometric Rectification: Toward a Common Radiometric Response among Multidate, Multisensor Images.” Remote Sensing of Environment 35 (1): 11–27. doi:10.1016/0034-4257(91)90062-B.
14. F.R.Hampel, 1973. “Robust Estimation: A Condensed Partial Survey.” Probability Theory and Related Fields 27 (2): 87–104.
15. International Organization for Standardization. 1994. Accuracy (Trueness and Precision) of Measurement Methods and Results-Part 2: Basic Method for the Determination of Repeatability and Reproducibility of a Standard Measurement Method. International Organization for Standardization
16. K.Kubik, 1982. “An Error Theory for the Danish Method.” Paper presented at the Symposium of Comm. III of ISP, Helsinki.
17. Li, D. R., and X. X. Yuan. 2002. Error Processing and Reliability Theory. Vol. 9. Wuhan: The Publishing House of Wuhan University.
18. X.Li,, X.Chen, Y.Zhao, J.Xu, F.Chen, and H.Li. 2013. “Automatic Intercalibration of Night-Time Light Imagery Using Robust Regression.” Remote Sensing Letters 4 (1): 45–54. doi:10.1080/2150704X.2012.687471.
19. X.Li,, and D.Li. 2014. “Can Night-Time Light Images Play a Role in Evaluating the Syrian Crisis?.” International Journal of Remote Sensing 35 (18): 6648–6661. doi:10.1080/01431161.2014.971469.
20. Z.Liu,, C.He, Q.Zhang, Q.Huang, and Y.Yang. 2012. “Extracting the Dynamics of Urban Expansion in China Using DMSP-OLS Nighttime Light Data from 1992 to 2008.” Landscape and Urban Planning 106 (1): 62–72. doi:10.1016/j.landurbplan.2012.02.013.
21. T.Ma,, Y.Zhou, C.Zhou, S.Haynie, T.Pei, and T.Xu. 2015. “Night-Time Light Derived Estimation of Spatio-Temporal Characteristics of Urbanization Dynamics Using DMSP/OLS Satellite Data.” Remote Sensing of Environment 158: 453–464. doi:10.1016/j.rse.2014.11.022.
22. D.L.Massart,, L.Kaufman, P.J.Rousseeuw, and A.Leroy. 1986. “Least Median of Squares: A Robust Method for Outlier and Model Error Detection in Regression and Calibration.” Analytica Chimica Acta 187: 171–179. doi:10.1016/S0003-2670(00)82910-4.
23. A.S.D.Miguel,, J.Zamorano, J.Gómez Castaño, and S.Pascual. 2014. “Evolution of the Energy Consumed by Street Lighting in Spain Estimated with DMSP-OLS Data.” Journal of Quantitative Spectroscopy and Radiative Transfer 139: 109–117. doi:10.1016/j.jqsrt.2013.11.017.
24. M.S.Moran,, R.D.Jackson, P.N.Slater, and P.M.Teillet. 1992. “Evaluation of Simplified Procedures for Retrieval of Land Surface Reflectance Factors from Satellite Sensor Output.” Remote Sensing of Environment 41 (2–3): 169–184. doi:10.1016/0034-4257(92)90076-V.
25. F.Pukelsheim, 1994. “The Three Sigma Rule.” The American Statistician 48 (2): 88–91.
26. W.J.J.Rey, 1983. Introduction to Robust and Quasi-Robust Statistical Methods. Heidelberg: Springer.
27. P.J.Rousseeuw, 1984. “Least Median of Squares Regression.” Journal of the American Statistical Association 79 (388): 871–880. doi:10.1080/01621459.1984.10477105.
28. P.J.Rousseeuw,, and A.M.Leroy. 2005. Robust Regression and Outlier Detection. Vol. 589. New York: John Wiley & Sons.
29. B.T.Tuttle,, S.J.Anderson, P.C.Sutton, C.D.Elvidge, and K.Baugh. 2013. “It Used to Be Dark Here.” Photogrammetric Engineering & Remote Sensing 79 (3): 287–297. doi:10.14358/PERS.79.3.287.
30. J.Wu,, S.He, J.Peng, W.Li, and X.Zhong. 2013. “Intercalibration of DMSP-OLS Night-Time Light Data by the Invariant Region Method.” International Journal of Remote Sensing 34 (20): 7356–7368. doi:10.1080/01431161.2013.820365.
31. X.Yang,, and C.P.Lo. 2000. “Relative Radiometric Normalization Performance for Change Detection from Multi-Date Satellite Images.” Photogrammetric Engineering and Remote Sensing 66 (8): 967–980.
32. Zeng, C., H. Shen, M. Zhong, L. Zhang, and P. Wu. 2015. “Reconstructing MODIS Ist Based on Multitemporal Classification and Robust regression.” IEEE Geoscience and Remote Sensing Letters 12 (3): 512–516.
33. Z.Zhang, 1997. “Parameter Estimation Techniques: A Tutorial with Application to Conic Fitting.” Image and Vision Computing 15 (1): 59–76. doi:10.1016/S0262-8856(96)01112-2.