Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data-Reference-Cited by-同舟云学术

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

Published:2017-07-16 Issue:7 Volume:7 Page:730
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Mezaal Mustafa Ridha,Pradhan Biswajeet^ORCID,Sameen Maher Ibrahim,Mohd Shafri Helmi Zulhaidi,Yusoff Zainuddin Md

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/7/7/730/pdf

Reference54 articles.

1. Landslide inventory maps: New tools for an old problem

2. Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview

3. Mass wasting triggered by the 2008 Wenchuan earthquake is greater than orogenic growth

4. Detecting and Characterizing Active Thrust Fault and Deep-Seated Landslides in Dense Forest Areas of Southern Taiwan Using Airborne LiDAR DEM

5. Data Fusion Technique Using Wavelet Transform and Taguchi Methods for Automatic Landslide Detection From Airborne Laser Scanning Data and QuickBird Satellite Imagery

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