Integrating Multitemporal Sentinel-1/2 Data for Coastal Land Cover Classification Using a Multibranch Convolutional Neural Network: A Case of the Yellow River Delta

Integrating Multitemporal Sentinel-1/2 Data for Coastal Land Cover Classification Using a Multibranch Convolutional Neural Network: A Case of the Yellow River Delta

Coastal land cover classification is a significant yet challenging task in remote sensing because of the complex and fragmented nature of coastal landscapes. However, availability of multitemporal and multisensor remote sensing data provides opportunities to improve classification accuracy. Meanwhil...

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Bibliographic Details
Main Authors: Quanlong Feng, Jianyu Yang, Dehai Zhu, Jiantao Liu, Hao Guo, Batsaikhan Bayartungalag, Baoguo Li
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
convolutional neural networks
land cover classification
data fusion
Sentinel
Online Access:https://www.mdpi.com/2072-4292/11/9/1006

Internet

https://www.mdpi.com/2072-4292/11/9/1006

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