Spatial–temporal convolutional gated recurrent unit network for significant wave height estimation from shipborne marine radar data
Spatial–temporal features are extracted from X-band marine radar backscatter image
sequences via deep neural networks to estimate sea surface significant wave heights …
sequences via deep neural networks to estimate sea surface significant wave heights …
A new method of rainfall detection from the collected X-band marine radar images
Y Wei, Y Liu, Y Lei, R Lian, Z Lu, L Sun - Remote Sensing, 2022 - mdpi.com
To control the quality of X-band marine radar images for retrieving information and improve
the inversion accuracy, the research on rainfall detection from marine radar images is …
the inversion accuracy, the research on rainfall detection from marine radar images is …
Intelligent monitoring method of tridimensional storage system based on deep learning
M Liu, X Xu, X Wang, Q Jiang, C Liu - Environmental Science and …, 2022 - Springer
Growing international trade requires more flexible warehouse management to match it. In
order to achieve more effective warehouse management efficiency, a shelf status–detection …
order to achieve more effective warehouse management efficiency, a shelf status–detection …
Sea surface wind and wave parameter estimation from X-band marine radar images with rain detection and mitigation
X Chen - 2021 - research.library.mun.ca
In this research, the application of X-band marine radar backscatter images for sea surface
wind and wave parameter estimation with rain detection and mitigation is investigated. In the …
wind and wave parameter estimation with rain detection and mitigation is investigated. In the …