Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data

An accurate inventory map is a prerequisite for the analysis of landslide susceptibility, hazard, and risk. Field survey, optical remote sensing, and synthetic aperture radar techniques are traditional techniques for landslide detection in tropical regions. However, such techniques are time consumin...

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Auteurs principaux:	Mustafa Ridha Mezaal, Biswajeet Pradhan, Maher Ibrahim Sameen, Helmi Zulhaidi Mohd Shafri, Zainuddin Md Yusoff
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2017-07-01
Collection:	Applied Sciences
Sujets:	landslide detection LiDAR recurrent neural networks (RNN) multi‐layer perceptron neural networks (MLP‐NN) GIS remote sensing
Accès en ligne:	https://www.mdpi.com/2076-3417/7/7/730
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