Object-oriented and pixel-based classification approaches to classify tropical successional stages using airborne high-spatial resolution images

GIScience and Remote Sensing

Volumn 53, Issue 2, 2016, Pages 206-226

  Piazza, Gustavo Antonio ^a   Vibrans, Alexander Christian ^a   Liesenberg, Veraldo ^b   Refosco, Julio Cesar ^a  

^a REGIONAL UNIVERSITY OF BLUMENAU   (Brazil)

^b SANTA CATARINA STATE UNIVERSITY   (Brazil)

Author keywords

data mining; image classification; Remote sensing; secondary forests

Indexed keywords

AIRBORNE SENSING; DATA MINING; IMAGE CLASSIFICATION; IMAGE RESOLUTION; MAPPING; MULTISPECTRAL IMAGE; RAINFOREST; REMOTE SENSING; SECONDARY FOREST;

ATLANTIC FOREST; BRAZIL;

EID: 84959557258     PISSN: 15481603     EISSN: None     Source Type: Journal    
DOI: 10.1080/15481603.2015.1130589     Document Type: Article

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