Neural network method to solve inverse problems for canopy radiative transfer models

Cybernetics and Systems Analysis

Volumn 45, Issue 3, 2009, Pages 477-488

  Kravchenko, A N ^a  

^a INSTITUTE OF HYDROBIOLOGY   (Ukraine)

Author keywords

Canopy radiative transfer model; Earth remote sensing; Inverse problems; Mixture density network; Plant moisture

Indexed keywords

CANOPY RADIATIVE TRANSFER; CANOPY RADIATIVE TRANSFER MODEL; COMPUTATIONALLY EFFICIENT; EARTH REMOTE SENSING; MIXTURE DENSITY; MIXTURE DENSITY NETWORK; NEURAL NETWORK METHOD; PLANT MOISTURE; RADIATIVE TRANSFER MODEL; SIMPLE MODEL; TRADITIONAL ARCHITECTURE; VEGETATION PARAMETERS;

ATMOSPHERIC RADIATION; DIFFERENTIAL EQUATIONS; MIXTURES; MOISTURE; NEURAL NETWORKS; PROBLEM SOLVING; RADIATIVE TRANSFER; REMOTE SENSING;

INVERSE PROBLEMS;

EID: 67649400317     PISSN: 10600396     EISSN: 15738337     Source Type: Journal    
DOI: 10.1007/s10559-009-9106-4     Document Type: Article

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