Academic Journal
Remote Sensing Change Detection Based on Feature Fusion and Attention Network
| العنوان: | Remote Sensing Change Detection Based on Feature Fusion and Attention Network |
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| المؤلفون: | LAN Ling-xiang, CHI Ming-min |
| المصدر: | Jisuanji kexue, Vol 49, Iss 6, Pp 193-198 (2022) |
| بيانات النشر: | Editorial office of Computer Science, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Computer software LCC:Technology (General) |
| مصطلحات موضوعية: | change detection, remote sensing, deep learning, attention mechanism, feature fusion, Computer software, QA76.75-76.765, Technology (General), T1-995 |
| الوصف: | Change detection is one of the essential tasks in remote sensing,which is usually regarded as a pixel-level classification problem.In recent years,deep neural networks have also been widely used in the change detection task due to their powerful hierarchical representation of bi-temporal images.A feature fusion and attention network (FFAN) is proposed based on neural encoder-fusion-decoder framework.It integrates features generated by encoder with the bi-temporal difference feature enhanced by attention mechanism,to better capture the bi-temporal change information.In particular,bi-temporal features enhanced by attention mechanism can significantly enhance the propagation of change information in the intermediate layers of deep networks,which adaptively recalibrates the change activation in FFAN by explicitly modeling the interdependence of bi-temporal inputs.Experiments conducted on open-source dataset demonstrate that,compared with existing methods,FFAN obtains better performance. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | Chinese |
| تدمد: | 1002-137X |
| Relation: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-6-193.pdf; https://doaj.org/toc/1002-137X |
| DOI: | 10.11896/jsjkx.210500058 |
| URL الوصول: | https://doaj.org/article/bda7bd0a6ae04f8ea72c8c5570bb6a1a |
| رقم الانضمام: | edsdoj.bda7bd0a6ae04f8ea72c8c5570bb6a1a |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 1002137X |
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| DOI: | 10.11896/jsjkx.210500058 |