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

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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Bibliographic Details
Main Authors: Mustafa Ridha Mezaal, Biswajeet Pradhan, Maher Ibrahim Sameen, Helmi Zulhaidi Mohd Shafri, Zainuddin Md Yusoff
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Applied Sciences
Subjects:
landslide detection
LiDAR
recurrent neural networks (RNN)
multi‐layer perceptron neural networks (MLP‐NN)
GIS
remote sensing
Online Access:https://www.mdpi.com/2076-3417/7/7/730

Internet

https://www.mdpi.com/2076-3417/7/7/730

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