Comparing the MLC and JavaNNS approaches in classifying multi-temporal LANDSAT satellite imagery over an ephemeral river area

International Journal of Agricultural and Environmental Information Systems

Volumn 6, Issue 4, 2015, Pages 83-102

  Tarantino, Eufemia ^a   Novelli, Antonio ^a   Aquilino, Mariella ^a   Figorito, Benedetto ^b   Fratino, Umberto ^a  

^a POLITECNICO DI BARI   (Italy)

^b Environmental Protection Agency (ARPA Puglia)   (Italy)

Author keywords

Ephemeral Streams; JavaNNS Classifer; LANDSAT Imagery; MLC Classifer; Multi Temporal LULC

Indexed keywords

CATCHMENTS; COMPUTER SOFTWARE; LAND USE; MAXIMUM LIKELIHOOD; NEURAL NETWORKS; SATELLITE IMAGERY;

EPHEMERAL STREAMS; JAVANNS CLASSIFER; LANDSAT IMAGERY; MLC CLASSIFER; MULTI-TEMPORAL;

IMAGE CLASSIFICATION;

ARTIFICIAL NEURAL NETWORK; CATCHMENT; COMPARATIVE STUDY; EPHEMERAL STREAM; LAND CLASSIFICATION; LAND COVER; LAND USE; LANDSAT; MAXIMUM LIKELIHOOD ANALYSIS; PIXEL; SATELLITE IMAGERY;

BARI [PUGLIA]; ITALY; PUGLIA;

EID: 84944687582     PISSN: 19473192     EISSN: 19473206     Source Type: Journal    
DOI: 10.4018/IJAEIS.2015100105     Document Type: Article

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