中国地质大学主页平台管理系统 FRY--英文主页-- [12] W. Han, R. Feng, L. Wang*, Y. Cheng, “A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 145, pp. 23

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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[12] W. Han, R. Feng, L. Wang*, Y. Cheng, “A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 145, pp. 23–43, 2018. (SCI, IF=6.942)

Release time:2020-07-11 Hits:

Translation or Not:no

Pre One:[11] R. Feng, Y. Zhong*, L. Wang*, and W. Lin*, “Rolling guidance based scale-aware spatial sparse unmixing for hyperspectral remote sensing imagery,” Remote Sensing, vol. 9, no. 12, pp. 1218, 2017. (SCI, IF=4.118)

Next One:[13] R. Feng, Y. Zhong*, X. Xu and L. Zhang, “Adaptive sparse subpixel mapping with a total variation model for remote sensing imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 5, pp. 2855–2872, 2016. (SCI, IF=5.630)