Accuracy assessment of land cover/land use classifiers in dry and humid areas of Iran

Environmental Monitoring and Assessment

Volumn 187, Issue 10, 2015, Pages

  Yousefi, Saleh ^a   Khatami, Reza ^b   Mountrakis, Giorgos ^b   Mirzaee, Somayeh ^c   Pourghasemi, Hamid Reza ^d   Tazeh, Mehdi ^e  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b 402 Baker Laboratory   (United States)

^c LORESTAN UNIVERSITY   (Iran)

^d SHIRAZ UNIVERSITY   (Iran)

^e College of Natural Resources Ardekan University ^*  (Iran)

Author keywords

Classification accuracy; Humid and dry areas; Land cover land use; Neural networks; SVM

Indexed keywords

NEURAL NETWORKS; PIXELS; REMOTE SENSING;

CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CLASSIFICATION METHODS; DRY AREAS; ENVIRONMENTAL ANALYSIS; LAND COVER; NEURAL NETWORK METHOD; SVM;

SUPPORT VECTOR MACHINES;

ACCURACY ASSESSMENT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; LAND CLASSIFICATION; LAND COVER; LAND USE CHANGE; MAPPING; SUPPORT VECTOR MACHINE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CASE STUDY; CLASSIFICATION ALGORITHM; CLASSIFIER; CLIMATE; DRY CLIMATE; GEOGRAPHY; HUMIDITY; IMAGE ANALYSIS; IRAN; LAND USE; MEASUREMENT ACCURACY; RANDOM SAMPLE; REFERENCE VALUE; SOIL ANALYSIS; SUPPORT VECTOR MACHINE; VALIDATION STUDY; AGRICULTURE; ALGORITHM; DESERT CLIMATE; ENVIRONMENT; ENVIRONMENTAL MONITORING; GEOGRAPHIC MAPPING; PROCEDURES; SEASON; TROPIC CLIMATE;

IRAN;

AGRICULTURE; ALGORITHMS; DESERT CLIMATE; ENVIRONMENT; ENVIRONMENTAL MONITORING; GEOGRAPHIC MAPPING; HUMIDITY; IRAN; NEURAL NETWORKS (COMPUTER); SEASONS; SUPPORT VECTOR MACHINE; TROPICAL CLIMATE;

EID: 84942474445     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-015-4847-1     Document Type: Article

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