Finer Resolution Mapping of Marine Aquaculture Areas Using WorldView-2 Imagery and a Hierarchical Cascade Convolutional Neural Network

Finer Resolution Mapping of Marine Aquaculture Areas Using WorldView-2 Imagery and a Hierarchical Cascade Convolutional Neural Network

Marine aquaculture plays an important role in seafood supplement, economic development, and coastal ecosystem service provision. The precise delineation of marine aquaculture areas from high spatial resolution (HSR) imagery is vital for the sustainable development and management of coastal marine re...

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Bibliographic Details
Main Authors: Yongyong Fu, Ziran Ye, Jinsong Deng, Xinyu Zheng, Yibo Huang, Wu Yang, Yaohua Wang, Ke Wang
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Remote Sensing
Subjects:
marine aquaculture areas
WorldView-2 imagery
fully convolutional network (FCN)
land-use and land-cover (LULC) mapping
Online Access:https://www.mdpi.com/2072-4292/11/14/1678

Internet

https://www.mdpi.com/2072-4292/11/14/1678

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