Regularizing kernel-based BRDF model inversion method for ill-posed land surface parameter retrieval using smoothness constraint

Journal of Geophysical Research Atmospheres

Volumn 113, Issue 13, 2008, Pages

  Wang, YanFei ^a   Yang, Changchun ^a   Li, Xiaowen ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC RADIATION; DISTRIBUTION FUNCTIONS; INVERSE PROBLEMS; LEAST SQUARES APPROXIMATIONS; REFLECTION; SINGULAR VALUE DECOMPOSITION;

ALBEDO; ALGORITHM; BIDIRECTIONAL REFLECTANCE; INVERSE PROBLEM; LAND SURFACE; MODELING; LEAST SQUARES METHOD; MODIS; NUMERICAL MODEL;

ATMOSPHERICS; DISTRIBUTION FUNCTIONS; INVERSE PROBLEMS; MODELS; RADIOMETERS; REFLECTION; SATELLITE IMAGERY; SECURITY OF DATA; SINGULAR VALUE DECOMPOSITION;

BIDIRECTIONAL REFLECTANCE; BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTIONS; BRDF MODEL INVERSION; DATA SETS; ILL POSED; ILL-POSED INVERSE PROBLEM; ILL-POSEDNESS; LAND SURFACE; LAND SURFACE ALBEDO; LAND SURFACE PARAMETERS; LEAST SQUARES ERRORS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NUMERICAL COMPUTATIONS; POSTERIORI; REGULARIZATION PARAMETERS; REGULARIZATION TECHNIQUE; ROBUST ESTIMATION; SAMPLED DATA; SATELLITE DATA; SINGULAR VALUE DECOMPOSITION METHOD; SMOOTHNESS CONSTRAINTS; TIKHONOV REGULARIZATION;

SURFACE MEASUREMENT;

EID: 50849112077     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007JD009324     Document Type: Article

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