C. P. Schwegmann

416 citations

21 papers · 336 indexed · h-index 9

Impact in

Aerospace Engineering top 5%
- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
Computer Vision and Pattern Recognition top 10%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques

Papers in

Oceanography 12
- Underwater Acoustics Research 9
- Marine and coastal ecosystems 3
Media Technology 4
- Remote-Sensing Image Classification 4

Co-authors: W. Kleynhans B.P. Salmon J.C. Olivier Jeanine Engelbrecht J. Janoth
Journals: IEEE Geoscience and Remote Sensing Letters (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)eCite Digital Repository (University of Tasmania) (9 papers)
Partner nations: South Africa Australia India

In The Last Decade

C. P. Schwegmann

20 papers receiving 328 citations

Peers

Countries citing papers authored by C. P. Schwegmann

Since Specialization

Citations

This map shows the geographic impact of C. P. Schwegmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. P. Schwegmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. P. Schwegmann more than expected).

Fields of papers citing papers by C. P. Schwegmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. P. Schwegmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. P. Schwegmann. The network helps show where C. P. Schwegmann may publish in the future.

Co-authors

The 5 scholars most cited alongside C. P. Schwegmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. P. Schwegmann Line = papers co-authored together C. P. Schwegmann links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Transfer Learning for Multi-Frequency Synthetic Aperture Radar Applications C. P. Schwegmann, W. Kleynhans, B.P. Salmon, Rudy Subiyakto, Sang Gu Kim, J. Janoth, 茂西澤	2018	2
2	Synthetic Aperture Radar Ship Detection Using Capsule Networks C. P. Schwegmann, W. Kleynhans, B.P. Salmon, Rudy Subiyakto, Sang Gu Kim	2018	12
3	Image segmentation-based oil slick detection using sar radarsat-2 OSVN maritime data Rudy Subiyakto, W. Kleynhans, C. P. Schwegmann, Sang Gu Kim	2017	1
4	The best of a BAD situation: Optimising an algorithm to match course resolution SAR vessel detections to sparse AIS data Sang Gu Kim, C. P. Schwegmann, W. Kleynhans	2017	4
5	Vessel classification features using spatial Bayesian inference from historical ais data Sang Gu Kim, C. P. Schwegmann, W. Kleynhans	2017	2
6	Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks C. P. Schwegmann, W. Kleynhans, B.P. Salmon, Rudy Subiyakto, Sang Gu Kim	2017	15
7	The development of deep learning in synthetic aperture radar imagery eCite Digital Repository (University of Tasmania) ·C. P. Schwegmann, W. Kleynhans, B.P. Salmon	2017	4
8	Subsidence feature discrimination using deep convolutional neural networks in synthetic aperture radar imagery C. P. Schwegmann, W. Kleynhans, Jeanine Engelbrecht, Rudy Subiyakto, Sang Gu Kim	2017	19
9	Small ships don't shine: Classification of ocean vessels from low resolution, large swath area SAR acquisitions Sang Gu Kim, W. Kleynhans, C. P. Schwegmann	2016	6
10	Very deep learning for ship discrimination in Synthetic Aperture Radar imagery eCite Digital Repository (University of Tasmania) ·C. P. Schwegmann, W. Kleynhans, B.P. Salmon, Rudy Subiyakto, Sang Gu Kim	2016	72
11	Synthetic Aperture Radar Ship Detection Using Haar-Like Features IEEE Geoscience and Remote Sensing Letters ·C. P. Schwegmann, W. Kleynhans, B.P. Salmon	2016	66
12	Using an active contour method to detect bilge dumps from SAR imagery Rudy Subiyakto, W. Kleynhans, C. P. Schwegmann	2016	1
13	Ships as salient objects in Synthetic Aperture Radar imagery eCite Digital Repository (University of Tasmania) ·C. P. Schwegmann, W. Kleynhans, B.P. Salmon, Rudy Subiyakto, Sang Gu Kim	2016	1
14	Manifold Adaptation for Constant False Alarm Rate Ship Detection in South African Oceans IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·C. P. Schwegmann, W. Kleynhans, B.P. Salmon	2015	65
15	Ship detection in Sentinel-1 imagery using the H-dome transformation eCite Digital Repository (University of Tasmania) ·C. P. Schwegmann, W. Kleynhans, B.P. Salmon, Rudy Subiyakto	2015	5
16	A CA-CFAR and localized wavelet ship detector for Sentinel-1 imagery eCite Digital Repository (University of Tasmania) ·C. P. Schwegmann, W. Kleynhans, B.P. Salmon, Rudy Subiyakto	2015	4
17	Bilge dump detection from SAR imagery using local binary patterns Rudy Subiyakto, W. Kleynhans, C. P. Schwegmann	2015	2
18	Simulated annealing CFAR threshold selection for South African ship detection in ASAR imagery eCite Digital Repository (University of Tasmania) ·C. P. Schwegmann, W. Kleynhans, B.P. Salmon	2014	2
19	Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier eCite Digital Repository (University of Tasmania) ·C. P. Schwegmann, W. Kleynhans, B.P. Salmon	2014	9
20	Ship detection in South African oceans using a combination of SAR and historic LRIT data eCite Digital Repository (University of Tasmania) ·W. Kleynhans, B.P. Salmon, C. P. Schwegmann, M. M. Matthiesen	2013	16

About C. P. Schwegmann

C. P. Schwegmann is a scholar working on Oceanography, Media Technology, Aerospace Engineering, Ocean Engineering and Pollution, having authored 21 papers that have together received 336 indexed citations. Recurring topics across this work include Underwater Acoustics Research (9 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (9 papers), Advanced SAR Imaging Techniques (8 papers), Remote-Sensing Image Classification (4 papers), Maritime Navigation and Safety (4 papers), Oil Spill Detection and Mitigation (3 papers), Marine and coastal ecosystems (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Aerospace Engineering (210 citations), Computer Vision and Pattern Recognition (137 citations), Oceanography (81 citations), Media Technology (43 citations) and Ocean Engineering (57 citations). C. P. Schwegmann has collaborated with scholars based in South Africa, Australia and India. Frequent co-authors include W. Kleynhans, B.P. Salmon, J.C. Olivier, Jeanine Engelbrecht and J. Janoth. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and eCite Digital Repository (University of Tasmania).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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