Remote sensing identification of marine floating raft aquaculture area based on sentinel-2A and DEM data
Marine floating raft aquaculture forms an integral component of the monitoring of coastal marine environments. It is essential to accurately obtain the spatial distribution of marine floating raft aquaculture to gain the fullest understanding of the development of marine fishery production, optimiza...
Main Authors: | Yishuo Cui, Xuehong Zhang, Nan Jiang, Tianci Dong, Tao Xie |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-08-01
|
Series: | Frontiers in Marine Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2022.955858/full |
Similar Items
-
Application of a VOF Multiphase Flow Model for Issues concerning Floating Raft Aquaculture
by: Kun Wang, et al.
Published: (2023-09-01) -
Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder
by: Long Gao, et al.
Published: (2022-06-01) -
The Impact of Floating Raft Aquaculture on the Hydrodynamic Environment of an Open Sea Area in Liaoning Province, China
by: Kun Wang, et al.
Published: (2022-10-01) -
Combining Segmentation Network and Nonsubsampled Contourlet Transform for Automatic Marine Raft Aquaculture Area Extraction from Sentinel-1 Images
by: Yi Zhang, et al.
Published: (2020-12-01) -
A Deep Learning Method for Offshore Raft Aquaculture Extraction Based on Medium-Resolution Remote Sensing Images
by: Jin Liu, et al.
Published: (2023-01-01)