Smart city and geospatiality: Hobart deeply learned

Proceedings - International Conference on Data Engineering

Volumn 2015-June, Issue , 2015, Pages 108-109

  Aryal, Jagannath ^a   Dutta, Ritaban ^b  

^a UNIVERSITY OF TASMANIA   (Australia)

^b CSIRO   (Australia)

Author keywords

Deep Learning; GEOBIA; geospatiality; Hobart; IKONOS; smart cities; ultra high resolution

Indexed keywords

BIG DATA; DEEP NEURAL NETWORKS; SMART CITY; TECHNICAL PRESENTATIONS; URBAN PLANNING;

GEOBIA; GEOSPATIALITY; HOBART; IKONOS; ULTRAHIGH RESOLUTION;

DEEP LEARNING;

EID: 84944321431     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDEW.2015.7129557     Document Type: Conference Paper

References (4)

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3. R Dutta, J Aryal, A Das, J B. Kirkpatrick, "Deep cognitive imaging systems enable estimation of continental-scale fire incidence from climate data", Scientific Reports 3, 2013, 3188, 10.1038/srep03188.
4. D E Rumelhart, G E Hinton, R J Williams, "Learning representations by back-propagating errors", Nature, 323, 1986, 533-536.