Jane Gallwey 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	146	145
h 指数	3	3
i10 指数	3	3

0

40

20

202020212022202320248 38 39 39 21

合著作者

John CogganUniversity of Exeter, Camborne School of Mines在 exeter.ac.uk 的电子邮件经过验证
Carlo RobiatiPh.D. Student, Camborne School of Mines, University of Exeter在 exeter.ac.uk 的电子邮件经过验证
Chris YeomansResearch Manager (CLL); Research Associate (CSM)在 exeter.ac.uk 的电子邮件经过验证

Jane Gallwey

Jane Gallwey

University of Exeter

在 exeter.ac.uk 的电子邮件经过验证

mining deep learning remote sensing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A Sentinel-2 based multispectral convolutional neural network for detecting artisanal small-scale mining in Ghana: Applying deep learning to shallow mining J Gallwey, C Robiati, J Coggan, D Vogt, M Eyre Remote Sensing of Environment 248, 111970, 2020	58	2020
Bringing Lunar LiDAR Back Down to Earth: Mapping Our Industrial Heritage through Deep Transfer Learning J Gallwey, M Eyre, M Tonkins, J Coggan Remote Sensing 11 (17), 1994, 2019	53	2019
A machine learning approach for the detection of supporting rock bolts from laser scan data in an underground mine J Gallwey, M Eyre, J Coggan Tunnelling and Underground Space Technology 107, 103656, 2021	33	2021
Using deep learning and Hough transformations to infer mineralised veins from LiDAR data over historic mining areas J Gallwey, C Yeomans, M Tonkins, J Coggan, D Vogt, M Eyre The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020	2	2020
Development of Mining Sector Applications for Emerging Remote Sensing and Deep Learning Technologies J Gallwey PQDT-UK & Ireland, 2021		2021

系统目前无法执行此操作，请稍后再试。

文章 1–5

共建清朗的网络空间,如遇有害信息,请举报。
本站数据皆整合自互联网公开资源索引,方便科研学术方面查询,并不存储相关数据资源;如对此有异议,请联系我们解决.
© 2023 学术资源搜索 @联系我们 | 申请短期会员 | 数据源提交