中国地质大学主页平台管理系统 FRY--英文主页-- [15] X. Han, Y. Zhong, R. Feng and L. Zhang, “Robust geospatial object detection based on pre-trained faster R-CNN framework for high spatial resolution imagery,” in Proc. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-28, 2017, Fort Worth, TX, USA.

冯如意

Title : 计算机学院青工会委员

Honors and Titles: 第十届青年教师教学竞赛一等奖；第四届全国高校移动互联网应用开发创新大赛优秀指导老师。

Gender : Female
Date of Birth : 1988-07-01
Education Level : Doctoral Degree in Education
Degree : Doctoral Degree in Engineering
Status : 在岗
School/Department : 智能科学与技术系
Date of Employment : 2016-07-01
Discipline : Remote sensing science and technology. Spatial information and digital technology

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[15] X. Han, Y. Zhong, R. Feng and L. Zhang, “Robust geospatial object detection based on pre-trained faster R-CNN framework for high spatial resolution imagery,” in Proc. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-28, 2017, Fort Worth, TX, USA.

Release time:2020-07-11 Hits:

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Pre One:[14] R. Feng, L. Wang, Y. Zhong and L. Zhang, “Differentiable sparse unmixing based on Bregman divergence for hyperspectral remote sensing imagery,” in Proc. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July23-28, 2017, Fort Worth, TX, USA.

Next One:[16] R. Feng, D. He, Y. Zhong and L. Zhang, “Sparse representation based subpixel information extraction framework for hyperspectral remote sensing imagery,” in Proc. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 10–15, 2016, Beijing, China.