Academic Journal
An Object-Oriented CNN Model Based on Improved Superpixel Segmentation for High-Resolution Remote Sensing Image Classification
| العنوان: | An Object-Oriented CNN Model Based on Improved Superpixel Segmentation for High-Resolution Remote Sensing Image Classification |
|---|---|
| المؤلفون: | Li, Zhiqing, Li, Erzhu, Samat, Alim, Xu, Tianyu, Liu, Wei, Zhu, Yihu |
| المساهمون: | National Natural Science Foundation of China, Youth Innovation Promotion Association Foundation of the Chinese Academy of Sciences, Xuzhou Science and Technology Key R&D Program, Jiangsu Province Land and Resources Science and Technology Plan |
| المصدر: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ; volume 15, page 4782-4796 ; ISSN 1939-1404 2151-1535 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE) |
| سنة النشر: | 2022 |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1109/jstars.2022.3181744 |
| الاتاحة: | http://dx.doi.org/10.1109/jstars.2022.3181744 http://xplorestaging.ieee.org/ielx7/4609443/9656571/09794447.pdf?arnumber=9794447 |
| Rights: | https://creativecommons.org/licenses/by/4.0/legalcode |
| رقم الانضمام: | edsbas.CD9DC7DB |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/jstars.2022.3181744 |
|---|