Combining multispectral images and selected textural features from high-resolution images to improve discrimination of forest canopies

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3500, Issue , 1998, Pages 124-134

  Ruiz, Luis A ^a   Inan, Igor ^a   Baridon, Juan E ^b   Lanfranco, Jorge W ^b  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b UNIVERSIDAD NACIONAL DE LA PLATA   (Argentina)

Author keywords

Forest mapping; Image classification; Texture analysis

Indexed keywords

AERIAL PHOTOGRAPHY; ANTENNAS; DISCRIMINANT ANALYSIS; FORESTRY; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE TEXTURE; LAND USE; MAPPING; MAPS; MATHEMATICAL MORPHOLOGY; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; TELLURIUM COMPOUNDS; VEGETATION;

FOREST MAPPING; GRAY LEVEL CO-OCCURRENCE MATRIX; MORPHOLOGICAL OPERATIONS; MULTISPECTRAL CLASSIFICATION; MULTISPECTRAL SATELLITE IMAGE; REPRESENTATIVE SAMPLE; STEPWISE DISCRIMINANT ANALYSIS; TEXTURE ANALYSIS;

IMAGE ENHANCEMENT;

EID: 34147105240     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.331856     Document Type: Conference Paper

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