SSSGAN: Satellite Style and Structure Generative Adversarial Networks
This work presents Satellite Style and Structure Generative Adversarial Network (SSGAN), a generative model of high resolution satellite imagery to support image segmentation. Based on spatially adaptive denormalization modules (SPADE) that modulate the activations with respect to segmentation map s...
| Главные авторы: | , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
MDPI AG
2021-10-01
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| Серии: | Remote Sensing |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2072-4292/13/19/3984 |