Multisensor Earth Observation Image Classification Based on a Multimodal Latent Dirichlet Allocation Model

IEEE Geoscience and Remote Sensing Letters

Volumn 15, Issue 3, 2018, Pages 459-463

  Bahmanyar, Reza ^a   Espinoza Molina, Daniela ^a   Datcu, Mihai ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Image fusion; land cover classification; multimodal latent Dirichlet allocation (mmLDA); multispectral images; synthetic aperture radar (SAR) images

Indexed keywords

IMAGE CLASSIFICATION; IMAGE FUSION; STATISTICS; SYNTHETIC APERTURE RADAR;

EARTH OBSERVATION IMAGES; LAND COVER CLASSIFICATION; LATENT DIRICHLET ALLOCATION; MULTISPECTRAL IMAGES; MULTISPECTRAL SATELLITE IMAGE; QUANTITATIVE VALIDATION; REGIONS OF INTEREST; SYNTHETIC APERTURE RADAR (SAR) IMAGES;

RADAR IMAGING;

EOS; IMAGE CLASSIFICATION; IMAGE PROCESSING; LAND CLASSIFICATION; LAND COVER; MODEL; MULTISPECTRAL IMAGE; NUMERICAL METHOD; RADAR IMAGERY; SENSOR; SYNTHETIC APERTURE RADAR;

EID: 85041660854     PISSN: 1545598X     EISSN: 15580571     Source Type: Journal    
DOI: 10.1109/LGRS.2018.2794511     Document Type: Article

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