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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.07575 |
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| _version_ | 1866915015481622528 |
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| author | Gilles, Jerome Landeau, Stephane Dagobert, Tristan Chevalier, Philippe Bolut, Christian |
| author_facet | Gilles, Jerome Landeau, Stephane Dagobert, Tristan Chevalier, Philippe Bolut, Christian |
| contents | In this communication, we propose a method which permits to simulate images of targets in infrared imagery by superimposition of vehicle signatures in background, eventually with occultants. We develop a principle which authorizes us to generate different thermal configurations of target signatures. This method enables us to easily generate huge datasets for ATR algorithms performance evaluation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_07575 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Génération de bases de données images IR sous contraintes avec variabilité thermique intrinsèque des cibles Gilles, Jerome Landeau, Stephane Dagobert, Tristan Chevalier, Philippe Bolut, Christian Computer Vision and Pattern Recognition In this communication, we propose a method which permits to simulate images of targets in infrared imagery by superimposition of vehicle signatures in background, eventually with occultants. We develop a principle which authorizes us to generate different thermal configurations of target signatures. This method enables us to easily generate huge datasets for ATR algorithms performance evaluation. |
| title | Génération de bases de données images IR sous contraintes avec variabilité thermique intrinsèque des cibles |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2411.07575 |