DeepSat - A learning framework for satellite imagery

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn 03-06-November-2015, Issue , 2015, Pages

  Basu, Saikat ^a   Ganguly, Sangram ^b   Mukhopadhyay, Supratik ^a   DiBiano, Robert ^a   Karki, Manohar ^a   Nemani, Ramakrishna ^b  

^a Louisiana State University   (United States)

^b NASA AMES RESEARCH CENTER   (United States)

Author keywords

Deep learning; High resolution; Satellite imagery

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); COMPUTER VISION; DECISION TREES; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; LEARNING SYSTEMS; NEURAL NETWORKS; OBJECT RECOGNITION; REMOTE SENSING; SATELLITE IMAGERY; SATELLITES; SUPERVISED LEARNING;

CLASSIFICATION FRAMEWORK; CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; HIGH RESOLUTION; INTRINSIC DIMENSIONALITIES; OBJECT RECOGNITION ALGORITHM; RANDOM FOREST CLASSIFIER; SATELLITE IMAGE CLASSIFICATION;

IMAGE CLASSIFICATION;

EID: 84961207640     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2820783.2820816     Document Type: Conference Paper

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