Abstract
This paper shows an application of a technique for finding anomalies in an image. The technique is based on transforming the image in a way which reduces the 'normative' form into a compact region within the transform domain. This region can be eliminated and the transform inverted to leave only anomalous features. The technique is applied to range-Time data from a millimetre-wave radar observing littoral sea clutter. The wavefronts are approximately straight in such images, so a Radon transform is used to compress straight lines into single points. Removing the brightest points in the transformed image leaves only the anomalies in the scene (i.e. features not corresponding to the waves on the sea).
| Original language | English |
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| Title of host publication | 2021 18th European Radar Conference (EuRAD) |
| Publisher | IEEE |
| Pages | 421-424 |
| Number of pages | 4 |
| ISBN (Electronic) | 9782874870651 |
| ISBN (Print) | 9781665447232 (PoD) |
| DOIs | |
| Publication status | Published - 2 Jun 2022 |
| Event | 18th European Radar Conference, EuRAD 2021 - London, United Kingdom Duration: 5 Apr 2022 → 7 Apr 2022 |
Publication series
| Name | European Radar Conference (EURAD) |
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Conference
| Conference | 18th European Radar Conference, EuRAD 2021 |
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| Country/Territory | United Kingdom |
| City | London |
| Period | 5/04/22 → 7/04/22 |
Bibliographical note
Publisher Copyright:© 2022 European Microwave Association (EuMA).
Keywords
- Anomaly detection
- radar clutter
- transform coding
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Signal Processing
- Instrumentation