方 立檢視原始碼討論檢視歷史
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方 立，男，福州大學先進制造學院與海洋學院教授。
人物簡歷
2011/10-2017/02，全日制博士，德國慕尼黑工業大學（Technical University of Munich， Germany），土木、地質與環境工程學院，攝影測量與遙感研究所（PF），攝影測量與遙感技術專業。
2009/10-2011/03，全日制碩士，德國慕尼黑工業大學，土木、地質與環境工程學院，地理信息科學專業。
2007/09-2009/06，全日制碩士，中國地質大學（武漢），自然地理專業。
2003/09-2007/06，全日制本科，中國地質大學（武漢），土地資源管理專業。
2018/08-至今； 研究員、課題組長；泉州裝備製造研究所；
2017/02-2018/07； 高級工程師（全職）； MUVI智能科技有限公司（德國慕尼黑）；
2016/08-2017/01； 助理研究員（全職）；慕尼黑工業大學攝影測量與遙感技術研究所；
社會兼職
IEEE Geoscience and Remote Sensing Society，會員
擔任Isprs Journal of Photogrammetry and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters等學術刊物審稿專家
研究領域
攝影測量與遙感、空間信息智能處理與應用、地理信息科學、模式識別與智能系統
科研課題
地震滑坡災害隱患早起識別及監測預警關鍵技術研發及示範應用.(地方科技計劃項目)
中科院海西研究院「前瞻跨越」計劃項目.
面向火場應用的短波紅外和熱成像相機圖像增強、目標監測和識別技術研究.（企業委託）
基於多尺度卷積神經網絡人臉識別的場景應用——課堂考勤.（企業委託）
基於深度學習的智能衛褲系統.（企業委託）
學術成果
1. Fang, L., Ye, Z., Su, S., Kang, J.,& Tong, X.H. (2020). Glacier Surface Motion Estimation from SAR Intensity Images Based on Subpixel Gradient Correlation. Sensors.
2. Fang, L., Ye, Z., Pan, Y. & Tong, X.H. (2020). Relation-based Point Embedding for ALS Point Clouds Classification. Remote Sensing. (In press)
3. Shi, C., Fang, L.*, Lv, Z. Y. & Shen, H. F. (2020). Improved Generative Adversarial Networks for Semi-supervised VHR Remote Sensing Image Classification. IEEE Geoscience and Remote Sensing Letters. (In press)
4. Shi, C., Fang, L.* & Shen, H. F. (2020). Convolutional Neural Networks with Class-driven Loss for Multiscale VHR Remote Sensing Image Classification. IEEE Access.
5. Hu, B., Li, H., Zhang, X.F & Fang, L. (2020). Oil and Gas Mining Deformation Monitoring and Assessments of Disaster : Using interferometric synthetic aperture radar technology. IEEE Geoscience and Remote Sensing Magazine.
6. Sun, J.G., Wang, W.L., Wei, X., Fang, L., et al. (2020). Deep clustering with intra-class distance constraint for hyperspectral images. IEEE Transactions on Geoscience and Remote Sensing.
7. Liang, J., Xu, J.C., Shen, H.F. & Fang, L.(2020). Land-Use Classification via Constrained Extreme Learning Classifier based on Cascaded Deep Convolutional Neural Networks.European Journal of Remote Sensing.
8. Fang, L. (2018). Glacier monitoring using spaceborne SAR intensity images. ISBN: 978-3-8440-6352-3, Book, Shaker Verlag, Aachen, Germany. (個人英文專著)
9. Fang, L., Wei, X., Yao, W., Xu, Y., & Stilla, U. (2017). Discriminative features based on two layers sparse learning for glacier area classification using sar intensity imagery. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, PP(99), 1-13.
10. Fang, L., Xu, Y., Yao, W., & Stilla, U. (2016). Estimation of glacier surface motion by robust phase correlation and point like features of sar intensity images. Isprs Journal of Photogrammetry & Remote Sensing, 121(10), 92-112.
11. Fang, L., Hoegner, L., & Stilla, U. (2015). Automatic Mapping of Glacier Based on SAR Imagery by Benefits of Freely Optical and Thermal Data. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(3), 47.
12. Fang, L., & Stilla, U. (2014). Masked Correlation for Improvement of 2D Glacier Motion Estimation Based on Terrasar-x Imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2(7), 9.
13. Fang, L., Maksymiuk, O., Schmitt, M., & Stilla, U. (2014). Potentials and Limits of Comprehensive 2D Glacier Motion Estimation using Satellite SAR Data. In Proceedings of DGPF (Vol. 23).
14. Fang, L., Maksymiuk, O., Schmitt, M., & Stilla, U. (2013). Determination of glacier surface area using spaceborne SAR imagery. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Hannover Workshop (pp. 105-110).
15. Fang, L., Maksymiuk, O., Schmitt, M., & Stilla, U. (2013). Improvement of motion estimation of the Taku glacier using spaceborne SAR images. In Proceedings of DGPF (Vol. 33, pp. 62-70). (EI檢索)
獲獎情況
福建省引進海外高層次人才B類[1]