Effect of pan-sharpening multi-temporal Landsat 8 imagery for crop type differentiation using different classification techniques

Computers and Electronics in Agriculture

Volumn 134, Issue , 2017, Pages 151-159

  Gilbertson, Jason Kane ^a   Kemp, Jaco ^a   van Niekerk, Adriaan ^a,b  

^a STELLENBOSCH UNIVERSITY   (South Africa)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Crop type mapping; Machine learning; Object based image analysis; Pan sharpening; Supervised classification

Indexed keywords

AGRICULTURAL MACHINERY; ARTIFICIAL INTELLIGENCE; CROPS; DECISION TREES; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; LEARNING SYSTEMS; NEAREST NEIGHBOR SEARCH; PIXELS; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; CLASSIFICATION TECHNIQUE; CROP TYPE MAPPINGS; K NEAREST NEIGHBOURS (K-NN); OBJECT BASED IMAGE ANALYSIS; OBJECT BASED IMAGE ANALYSIS (OBIA); PAN-SHARPENING; SUPERVISED CLASSIFICATION;

IMAGE ANALYSIS;

ACCURACY ASSESSMENT; DIFFERENTIATION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LANDSAT; MACHINE LEARNING; SATELLITE IMAGERY; SEGMENTATION; SPATIAL RESOLUTION; SUPPORT VECTOR MACHINE; TEMPORAL ANALYSIS; VEGETATION MAPPING;

SOUTH AFRICA;

EID: 85011818200     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2016.12.006     Document Type: Article

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