An Attention-Fused Deep Learning Model for Accurately Monitoring Cage and Raft Aquaculture at Large-Scale Using Sentinel-2 Data
Y Xu, L Lu - IEEE Journal of Selected Topics in Applied Earth …, 2024 - ieeexplore.ieee.org
Cage and raft aquaculture (CRA) is vital for the coastal economy and provides high-quality
aquatic products. Accurately monitoring large-scale CRA lays the foundation for predicting …
aquatic products. Accurately monitoring large-scale CRA lays the foundation for predicting …
LKPF-YOLO: A Small Target Ship Detection Method for Marine Wide-Area Remote Sensing Images
J Chen, Z Hu, W Wu, Y Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Ship detection based on wide-area remote sensing imagery has a wide range of
applications in areas such as ship supervision and rescue at sea. However, wide-area …
applications in areas such as ship supervision and rescue at sea. However, wide-area …
Remote Sensing Image Segmentation of Mariculture Cage Using Ensemble Learning Strategy
L Xu, Z Hu, C Zhang, W Wu - Applied Sciences, 2022 - mdpi.com
Featured Application By introducing the method of deep learning, the precise segmentation
of the aquaculture cages in a specific aquaculture sea area can be achieved, so as to …
of the aquaculture cages in a specific aquaculture sea area can be achieved, so as to …
A Novel Semantic Segmentation Approach Using Improved SegNet and DSC in Remote Sensing Images
W Chang, D Zhang - International Journal on Semantic Web and …, 2023 - igi-global.com
An improved SegNet semantic segmentation model is proposed to address the issue of
traditional classification algorithms and shallow learning algorithms not being suitable for …
traditional classification algorithms and shallow learning algorithms not being suitable for …