Land-use land-cover classification by machine learning classifiers for satellite observations-A review

Remote Sensing

Volumn 12, Issue 7, 2020, Pages

  Talukdar, Swapan ^a   Singha, Pankaj ^a   Mahato, Susanta ^a   Shahfahad, ^b   Pal, Swades ^a   Liou, Yuei An ^c   Rahman, Atiqur ^b  

^a UNIVERSITY OF GOUR BANGA   (India)

^b JAMIA MILLIA ISLAMIA CENTRAL UNIVERSITY   (India)

^c NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Artificial neural network; Earth observations; Land use land cover (LULC); Machine learning algorithm; Random forest

Indexed keywords

DECISION TREES; DEVELOPING COUNTRIES; FUZZY NEURAL NETWORKS; LAND USE; LEARNING SYSTEMS; MEAN SQUARE ERROR; PARAMETER ESTIMATION; PHOTOMAPPING; POPULATION STATISTICS; SUPPORT VECTOR MACHINES;

FUZZY ADAPTIVE RESONANCE THEORIES; INDUSTRIAL DEVELOPMENT; NON-PARAMETRIC CLASSIFIERS; PARAMETRIC CLASSIFIER; QUANTITATIVE ASSESSMENTS; ROOT MEAN SQUARE ERRORS; SATELLITE OBSERVATIONS; SPECTRAL ANGLE MAPPERS;

LEARNING ALGORITHMS;

EID: 85084263394     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs12071135     Document Type: Review

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