IEEE - Institute of Electrical and Electronics Engineers, Inc. - Exploiting ConvNet Diversity for Flooding Identification

Author(s): Keiller Nogueira ; Samuel G. Fadel ; Icaro C. Dourado ; Rafael de O. Werneck ; Javier A. V. Munoz ; Otavio A. B. Penatti ; Rodrigo T. Calumby ; Lin Tzy Li ; Jefersson A. dos Santos ; Ricardo da S. Torres
Sponsor(s): IEEE Geoscience and Remote Sensing Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 September 2018
Volume: 15
Page(s): 1,446 - 1,450
ISSN (Electronic): 1558-0571
ISSN (Paper): 1545-598X
DOI: 10.1109/LGRS.2018.2845549
Regular:

Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities. A first and essential procedure toward flood monitoring is based on identifying... View More

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