Colin P. Schwegmann

Orcid: 0000-0002-4953-7322

According to our database1, Colin P. Schwegmann authored at least 25 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2022
A SAR ship dataset for detection, discrimination and analysis.
Dataset, May, 2022

2018
Transfer Learning for Multi-Frequency Synthetic Aperture Radar Applications.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Synthetic Aperture Radar Ship Detection Using Capsule Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Synthetic Aperture Radar Ship Detection Using Haar-Like Features.
IEEE Geosci. Remote. Sens. Lett., 2017

Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Subsidence feature discrimination using deep convolutional neural networks in synthetic aperture radar imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Improving features used for hyper-temporal land cover change detection by reducing the uncertainty in the feature extraction method.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Vessel classification features using spatial Bayesian inference from historical ais data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

The best of a BAD situation: Optimising an algorithm to match course resolution SAR vessel detections to sparse AIS data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Image segmentation-based oil slick detection using sar radarsat-2 OSVN maritime data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Ships as salient objects in Synthetic Aperture Radar imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Very deep learning for ship discrimination in Synthetic Aperture Radar imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Transforming the autocorrelation function of a time series to detect land cover change.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

A heuristic approach to learning new graph structures for remote sensing images.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Small ships don't shine: Classification of ocean vessels from low resolution, large swath area SAR acquisitions.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Using an active contour method to detect bilge dumps from SAR imagery.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Manifold Adaptation for Constant False Alarm Rate Ship Detection in South African Oceans.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Ship detection in Sentinel-1 imagery using the H-dome transformation.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

A CA-CFAR and localized wavelet ship detector for Sentinel-1 imagery.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Proper comparison among methods using a confusion matrix.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

A multi-tier higher order conditional random field for land cover classification of multi-temporal multi-spectral landsat imagery.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Bilge dump detection from SAR imagery using local binary patterns.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Simulated annealing CFAR threshold selection for South African ship detection in ASAR imagery.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Ship detection in South African oceans using a combination of SAR and historic LRIT data.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013


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