Improvements in Target Detection Using Machine Learning
A new approach using computer vision/machine learning (ML) algorithms to improve thermal target detection performance is discussed. ERDC's prototype two-step environment informed automatic target detection and recognition (ATD/R) algorithm shows a greater than 50% improvement in sub-surface target detection as compared to other ML ATD/R algorithms.
Authors
- Van‐Anh Truong (ORCID: https://orcid.org/0000-0001-9632-7750)
- Jay Clausen (ORCID: https://orcid.org/0000-0001-9958-8067)
- Sophia P. Bragdon
- Megan I. Bishop
Institutions
- Cold Regions Research and Engineering Laboratory (US)
- United States Army (US)
- U.S. Army Engineer Research and Development Center (US)
Publication Details
- Published
- 2024-08-14
- DOI
- https://doi.org/10.1109/rapid60772.2024.10646918
- Citations
- 1
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.25