Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-CNN Deep Learning and Digital Elevation Data

Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-CNN Deep Learning and Digital Elevation Data

Modern elevation-determining remote sensing technologies such as light-detection and ranging (LiDAR) produce a wealth of topographic information that is increasingly being used in a wide range of disciplines, including archaeology and geomorphology. However, automated methods for mapping topographic...

Full description

Bibliographic Details
Main Authors: Aaron E. Maxwell, Pariya Pourmohammadi, Joey D. Poyner
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
light detection and ranging
lidar
deep learning
convolutional neural networks
cnns
mask regional-convolutional neural networks
mask r-cnn
digital terrain analysis
resource extraction
Online Access:https://www.mdpi.com/2072-4292/12/3/547

Internet

https://www.mdpi.com/2072-4292/12/3/547

Similar Items