Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)（2020）
Key words
geomorphological analysis,unpiloted aircraft systems,pipeline,deep learning,close-range aerial imagery,spatial distributions,rock traits,roundness,tectonic fault scarp,fault scarp derive,initial volcanic fracturing,subsequent tectonic fracturing,geomorphic fracturing,leverage UAS-based imagery,surface processes,georeferenced orthomosaics,digital elevation models,image tiles,deep neural network,segment individual rocks,semantic information,rock masks,unlabeled resolution SfM products,high-resolution SfM products,subsequent structural analysis,shape descriptors,rock size,Volcanic Tablelands,proof-of-concept experiment,DJI Phantom 4 Pro,elevation information assisted instance segmentation,rock-trait histograms,neural network inference,spectral orthomosaics
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined