Automated retrieval of forest structure variables based on multi-scale texture analysis of VHR satellite imagery

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 96, Issue , 2014, Pages 164-178

  Beguet, Benoit ^a,b   Guyon, Dominique ^b   Boukir, Samia ^a   Chehata, Nesrine ^a  

^a UNIVERSITÉ DE BORDEAUX   (France)

^b BORDEAUX SCIENCES AGRO   (France)

Author keywords

Feature selection; Forestry; Multi resolution; Multi scale; Multiple regression; Pl iades; Quickbird; Texture

Indexed keywords

AUTOMATION; FEATURE EXTRACTION; REGRESSION ANALYSIS; SATELLITE IMAGERY; TEXTURES; LINEAR REGRESSION;

DIAMETER-AT-BREAST HEIGHTS; MULTI-RESOLUTION; MULTI-RESOLUTION APPROACH; MULTI-SCALE; MULTIPLE REGRESSIONS; QUICKBIRD; VARIABLE SUBSET SELECTIONS; VERY HIGH RESOLUTION SATELLITE IMAGERY; AVERAGE PREDICTION ERROR;

FORESTRY;

FORESTRY; NUMERICAL MODEL; PARAMETERIZATION; PREDICTION; QUICKBIRD; SATELLITE IMAGERY; STAND STRUCTURE; DIAMETER; FOREST; MULTIPLE REGRESSION; REGRESSION ANALYSIS; RESOLUTION; SAMPLING; TEXTURE;

AUTOMATION; FORESTRY; REGRESSION ANALYSIS; TEXTURE; DESIGN; FORESTS; IMAGES; SATELLITES;

FRANCE;

PINUS PINASTER;

EID: 84907042674     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2014.07.008     Document Type: Article

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