Notebook developed to demonstrate the use of deep neural networks for the detection of floating objects on Sentinel-2 data.If you use this software, please cite it using the metadata from this file
Early detection of algal buildup by continuous monitoring of water bodies is a key component in comb...
The automatic detection and characterization of ships in optical remote sensing images is a key chal...
Deep learning algorithms are widely used in many fields of astronomy, and have a wide range of appli...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
This dataset contains the data used in the notebook "Detecting floating objects using Deep Learning ...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
The dataset used in the study consists of imagery capturing ship wake patterns. It is a manually cur...
Deep learning, also known as deep machine learning or deep structured learning based techniques, hav...
Satellite imagery has been used to observe and collect information about the earth for decades. Obje...
A critical role in monitoring and understanding human activities at sea is held by the detection of ...
We provided a new dataset for deep learning of surface water features on Sentinel-2 satellite images...
The application of machine learning techniques in object detection area has been improved dramatical...
The advent of deep learning for object detection has led to a wave of new ways for autonomous object...
Nowaday, expanding the application of deep learning technology is attracting attention of many resea...
Early detection of algal buildup by continuous monitoring of water bodies is a key component in comb...
The automatic detection and characterization of ships in optical remote sensing images is a key chal...
Deep learning algorithms are widely used in many fields of astronomy, and have a wide range of appli...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
This dataset contains the data used in the notebook "Detecting floating objects using Deep Learning ...
Notebook developed to demonstrate the use of deep neural networks for the detection of floating obje...
The dataset used in the study consists of imagery capturing ship wake patterns. It is a manually cur...
Deep learning, also known as deep machine learning or deep structured learning based techniques, hav...
Satellite imagery has been used to observe and collect information about the earth for decades. Obje...
A critical role in monitoring and understanding human activities at sea is held by the detection of ...
We provided a new dataset for deep learning of surface water features on Sentinel-2 satellite images...
The application of machine learning techniques in object detection area has been improved dramatical...
The advent of deep learning for object detection has led to a wave of new ways for autonomous object...
Nowaday, expanding the application of deep learning technology is attracting attention of many resea...
Early detection of algal buildup by continuous monitoring of water bodies is a key component in comb...
The automatic detection and characterization of ships in optical remote sensing images is a key chal...
Deep learning algorithms are widely used in many fields of astronomy, and have a wide range of appli...
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