Evaluation of semi-empirical BRDF models inverted against multi-angle data from a digital airborne frame camera for enhancing forest type classification

Remote Sensing of Environment

Volumn 151, Issue , 2014, Pages 27-43

  Koukal, Tatjana ^a   Atzberger, Clement ^a   Schneider, Werner ^a  

^a UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

Author keywords

Digital airborne frame camera; Forest classification; Inverse problems; Random forests; RossThick LiSparse model; RPV model

Indexed keywords

CAMERAS; DECISION TREES; DISTRIBUTION FUNCTIONS; GEOMETRY; INVERSE PROBLEMS; PARAMETER ESTIMATION; PHOTOMAPPING; REFLECTION; TABLE LOOKUP;

BI-DIRECTIONAL REFLECTANCE FACTORS; BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTIONS; CLASSIFICATION ACCURACY; DIRECTIONAL INFORMATION; EXPLANATORY VARIABLES; FOREST CLASSIFICATION; RANDOM FORESTS; SPECTRAL INFORMATION;

CLASSIFICATION (OF INFORMATION);

CLASSIFICATION; DATA SET; FOREST ECOSYSTEM; MAPPING METHOD; NUMERICAL MODEL; PHOTOGRAPHY; REFLECTANCE; REMOTE SENSING; SATELLITE DATA;

EID: 84906751214     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.12.014     Document Type: Article

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