Listing 1 - 10 of 103 | << page >> |
Sort by
|
Choose an application
Marine pollution --- Marine environment pollution --- Marine water pollution --- Ocean pollution --- Offshore water pollution --- Sea pollution --- Seawater --- Pollution --- Coastal zone management --- Oceanography --- Water --- Marine resources conservation
Choose an application
Tropical Marine Pollution
Issue --- Marine pollution --- Water --- Hydrology --- Marine environment pollution --- Marine water pollution --- Ocean pollution --- Offshore water pollution --- Sea pollution --- Seawater --- Coastal zone management --- Oceanography --- Pollution --- Marine resources conservation
Choose an application
Marine pollution --- Marine environment pollution --- Marine water pollution --- Ocean pollution --- Offshore water pollution --- Sea pollution --- Seawater --- Coastal zone management --- Oceanography --- Pollution --- Water --- Marine resources conservation --- Research.
Choose an application
Marine pollution. --- Marine environment pollution --- Marine water pollution --- Ocean pollution --- Offshore water pollution --- Sea pollution --- Seawater --- Coastal zone management --- Oceanography --- Pollution --- Water --- Marine resources conservation
Choose an application
This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports.
Marine pollution. --- Marine environment pollution --- Marine water pollution --- Ocean pollution --- Offshore water pollution --- Sea pollution --- Seawater --- Coastal zone management --- Oceanography --- Pollution --- Water --- Marine resources conservation
Choose an application
Water supply. Water treatment. Water pollution --- Marine pollution. --- Marine pollution --- Marine environment pollution --- Marine water pollution --- Ocean pollution --- Offshore water pollution --- Sea pollution --- Seawater --- Pollution --- Coastal zone management --- Oceanography --- Water --- Marine resources conservation
Choose an application
Water supply. Water treatment. Water pollution --- Marine pollution --- Marine environment pollution --- Marine water pollution --- Ocean pollution --- Offshore water pollution --- Sea pollution --- Seawater --- Pollution --- Coastal zone management --- Oceanography --- Water --- Marine resources conservation
Choose an application
Coasts --- -Marine pollution --- -Marine environment pollution --- Marine water pollution --- Ocean pollution --- Offshore water pollution --- Sea pollution --- Seawater --- Coastal zone management --- Oceanography --- Pollution --- Water --- Marine resources conservation --- Coastal landforms --- Coastal zones --- Coastlines --- Landforms --- Seashore --- Marine pollution --- -Coasts
Choose an application
Marine pollution --- California --- Description and travel. --- Marine environment pollution --- Marine water pollution --- Ocean pollution --- Offshore water pollution --- Sea pollution --- Seawater --- Pollution --- Description and travel --- Coastal zone management --- Oceanography --- Water --- Marine resources conservation
Choose an application
Marine accidents. --- Marine accidents --- Marine pollution --- Environmental aspects --- Mathematical models. --- Marine environment pollution --- Marine water pollution --- Ocean pollution --- Offshore water pollution --- Sea pollution --- Seawater --- Coastal zone management --- Oceanography --- Pollution --- Water --- Marine resources conservation --- Ships --- Accidents
Listing 1 - 10 of 103 | << page >> |
Sort by
|