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Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-Scale Feature Pyramid Network
Arc Lab. 2019. 8. 24. 14:19[업데이트 2019.08.24 14:15]
1. 논문
Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-Scale Feature Pyramid Network
Remote Sens. 2019, 11(7), 755; https://doi.org/10.3390/rs11070755
Received: 17 February 2019 / Revised: 20 March 2019 / Accepted: 23 March 2019 / Published: 28 March 2019
2. 요약
- To solve these problems, an effective region-based VHR remote sensing imagery object detection framework named Double Multi-scale Feature Pyramid Network (DM-FPN) was proposed in this paper, which utilizes inherent multi-scale pyramidal features and combines the strong-semantic, low-resolution features and the weak-semantic, high-resolution features simultaneously.
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