158 citations · 389 across the 49 of their papers we have counts for
79 papers
Enhancing coastal water body segmentation with Landsat Irish Coastal Segmentation (LICS) dataset
Conor O'Sullivan, Ambrish Kashyap, Seamus Coveney +2
Ireland's coastline, a critical and dynamic resource, is facing challenges such as erosion, sedimentation, and human activities. Monitoring these changes is a complex task we appro…
Interpreting a Semantic Segmentation Model for Coastline Detection
Conor O'Sullivan, Seamus Coveney, Xavier Monteys +1
We interpret a deep-learning semantic segmentation model used to classify coastline satellite images into land and water. This is to build trust in the model and gain new insight i…
The Effectiveness of Edge Detection Evaluation Metrics for Automated Coastline Detection
Conor O'Sullivan, Seamus Coveney, Xavier Monteys +1
We analyse the effectiveness of RMSE, PSNR, SSIM and FOM for evaluating edge detection algorithms used for automated coastline detection. Typically, the accuracy of detected coastl…
Automated Coastline Extraction Using Edge Detection Algorithms
Conor O'Sullivan, Seamus Coveney, Xavier Monteys +1
We analyse the effectiveness of edge detection algorithms for the purpose of automatically extracting coastlines from satellite images. Four algorithms - Canny, Sobel, Scharr and P…
Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images
Jason Walsh, Alice Othmani, Mayank Jain +1
Magnetic Resonance Imaging (MRI) is the most commonly used non-intrusive technique for medical image acquisition. Brain tumor segmentation is the process of algorithmically identif…
Link Climate: An Interoperable Knowledge Graph Platform for Climate Data
Jiantao Wu, Fabrizio Orlandi, Declan O'Sullivan +1
Climate science has become more ambitious in recent years as global awareness about the environment has grown. To better understand climate, historical climate (e.g. archived meteo…