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S. Coveney

4 papers hereh-index 14617 citations47 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2024

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…

cs.LG2024

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…

cs.CV2024

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…

cs.CV2024

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…

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