Robust estimation of BRDF model parameters

Remote Sensing of Environment

Volumn 89, Issue 1, 2004, Pages 63-71

  Susaki, Junichi ^a   Hara, Keitarou ^a   Kajiwara, Koji ^b   Honda, Yoshiaki ^b  

^a TOKYO UNIVERSITY OF INFORMATION SCIENCES   (Japan)

^b CHIBA UNIVERSITY   (Japan)

Author keywords

BRDF; LMedS (least median of squares); M estimators; Parameter estimation; Robust estimation

Indexed keywords

DATA REDUCTION; ELECTROMAGNETIC WAVE REFLECTION; LEAST SQUARES APPROXIMATIONS; PARAMETER ESTIMATION; VEGETATION;

GEOLOCATION ERRORS;

REMOTE SENSING;

BIDIRECTIONAL REFLECTANCE; ESTIMATION METHOD; LEAST SQUARES METHOD; NUMERICAL MODEL; PADDY FIELD; PARAMETERIZATION; REMOTE SENSING;

ASIA; EURASIA; FAR EAST; JAPAN;

EID: 0842284625     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2003.10.004     Document Type: Article

References (26)

1. Anderson T.W. An introduction to multivariate statistical analysis. 1958;Wiley, New York.
2. Black M.J., Sapiro G., Marimont D.H., Heeger D. Robust anisotropic diffusion. IEEE Transactions on Image Processing. 7:1998;421-432.
3. Can A., Stewart C.V., Roysam B., Tanenbaum H.L. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence. 24:2002;347-364.
4. Chopping M.J. Testing a LiSK BRDF model with in situ bidirectional reflectance factor measurements over semiarid grasslands. Remote Sensing of Environment. 74:2000;287-312.
5. Gao F., Li X., Strahler A., Schaaf C. Acquiring a priori knowledge from ground and spaceborne BRDF measurements. IEEE Int. Geosci. Remote Sensing Symp. Proc. vol. 2:2000;718-720.
6. Gao F., Schaaf C.B., Strahler A.H., Lucht W. Using a multikernel least-variance approach to retrieve and evaluate albedo from limited bidirectional measurements. Remote Sensing of Environment. 76:2001;57-66.
7. Hu B., Wanner W., Li X., Strahler A.H. Validation of kernel-driven semiempirical models for global modeling of bidirectional reflectance. Remote Sensing of Environment. 62:1997;201-214.
8. Huber P.J. Robust statistics. 1981;Wiley, New York.
9. Kimes D.S., Newcombe W.W., Tucker C.J., Zonnefeld I.W., van Vijingaarden W., de Leeuw J., Epema G.F. Directional reflectance factor distributions for cover types of Northern Africa. Remote Sensing of Environment. 18:1985;1-19.
10. Lacaze R., Roujean J.L. G-function and HOt SpoT (GHOST) reflectance model application to multi-scale airborne POLDER measurements. Remote Sensing of Environment. 76:2001;67-80.
11. Li X., Gao F., Strahler A.H. A priori knowledge accumulation and its application to linear BRDF model inversion. Journal of Geophysical Research. 106:2001;11925-11935.
12. Lucht W., Roujean J.L. Considerations in the parametric modeling of BRDF and albedo from multiangular satellite sensor observations. Remote Sensing Reviews. vol. 18:2000;343-379.
13. Lucht W., Schaaf C.B., Strahler A.H. An algorithm for the retrieval of albedo from space using semiempirical BRDF models. IEEE Transactions on Geoscience and Remote Sensing. 38:2000;977-998.
14. Meer P., Mintz D., Rosenfeld A., Kim D.Y. Robust regression methods for computer vision: a review. International Journal of Computer Vision. 6:1991;59-70.
15. Meer P., Stewart C.V., Tyler D.E. Robust computer vision: An interdisciplinary challenge. Computer Vision and Image Understanding. 78:2000;1-7.
16. Nestares O., Heeger D.J. Robust multiresolution alignment of MRI brain volumes. Magnetic Resonance in Medicine. 43:2000;705-715.
17. Pinty B., Verstraete M.M. Extracting information on surface properties from bidirectional reflectance measurements. Journal of Geophysical Research. 96:1991;2865-2879.
18. Privette J.L., Eck T.F., Deering D.W. Estimating spectral albedo and nadir reflectance through inversion of simple BRDF models with AVHRR/MODIS-like data. Journal of Geophysical Research. 102:1997;29529-29542.
19. Rosin P.L., Hervas J., Barredo J.I. Remote sensing image thresholding for landslide motion detection. 1st Int. Workshop Patt. Recognition Tech. in Remote. 2000;10-17.
20. Roujean J.L., Leroy M., Deschamps P.Y. A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data. Journal of Geophysical Research. 97:1992;20455-20468.
21. Rousseeuw P.W., Leroy A.M. Robust regression and outlier detection. 1987;Wiley, New York.
22. Schaaf C.B., Gao F., Strahler A.H., Lucht W., Li X., Tsang T., Strungnell N.C., Zhang X., Jin Y., Muller J.P., Lewis P., Barnsley M., Hobson P., Disney M., Roberts G., Dunderdale M., Doll C., d'Entremont R.P., Hu B., Liang S., Privette J.L., Roy D. Remote Sensing of Environment. 83:2003;135-148.
23. Stefansky W. Rejecting outliers by maximum normed residual. Annals of Mathematical Statistics. 42:1971;35-45.
24. Strahler,A.H.,Muller,J.P.,&MODISScienceTeamMembers(1999). "MODISBRDF/Albedoproduct:Algorithmtheoreticalbasisdocument", NASAEOSMODISDoc.,version5.0(availableathttp://modis.gsfc.nasa.gov/data/atbd/ atbdmod09.pdf)
25. Tietjen G.L., Moore R.H., Beckman R.J. Testing for a single outlier in simple linear regression. Technometrics. 15:1973;717-721.
26. Wanner W., Strahler A.H. On the derivation of kernels for kernel-driven models of bidirectional reflectance. Journal of Geophysical Research. 100:1995;21077-21089.