Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 7, Issue 7, Pages 730
Publisher
MDPI AG
Online
2017-07-18
DOI
10.3390/app7070730
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Integration of Ant Colony Optimization and Object-Based Analysis for LiDAR Data Classification
- (2017) Maher Ibrahim Sameen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Satellite image classification using Genetic Algorithm trained radial basis function neural network, application to the detection of flooded areas
- (2017) Akansha Singh et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network
- (2017) Gang Fu et al. Remote Sensing
- Severity Prediction of Traffic Accidents with Recurrent Neural Networks
- (2017) Maher Sameen et al. Applied Sciences-Basel
- Data Fusion Technique Using Wavelet Transform and Taguchi Methods for Automatic Landslide Detection From Airborne Laser Scanning Data and QuickBird Satellite Imagery
- (2016) Biswajeet Pradhan et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Automatic identification of shallow landslides based on Worldview2 remote sensing images
- (2016) Hai-Rong Ma et al. Journal of Applied Remote Sensing
- Detection of 2011 Sikkim earthquake-induced landslides using neuro-fuzzy classifier and digital elevation model
- (2016) Krishna Kant Singh et al. NATURAL HAZARDS
- Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio
- (2015) Pece V. Gorsevski et al. Landslides
- Detection of tsunami-induced changes using generalized improved fuzzy radial basis function neural network
- (2015) Akansha Mehrotra et al. NATURAL HAZARDS
- Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and Machine Learning Algorithms
- (2015) Xianju Li et al. Remote Sensing
- Detecting and Characterizing Active Thrust Fault and Deep-Seated Landslides in Dense Forest Areas of Southern Taiwan Using Airborne LiDAR DEM
- (2015) Rou-Fei Chen et al. Remote Sensing
- Feature Selection with theBorutaPackage
- (2015) Miron B. Kursa et al. Journal of Statistical Software
- Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
- (2014) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Forested landslide detection using LiDAR data and the random forest algorithm: A case study of the Three Gorges, China
- (2014) Weitao Chen et al. REMOTE SENSING OF ENVIRONMENT
- Semiautomatic Object-Oriented Landslide Recognition Scheme From Multisensor Optical Imagery and DEM
- (2013) Jiann-Yeou Rau et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Landslide Deformation Prediction Based on Recurrent Neural Network
- (2013) Huangqiong Chen et al. NEURAL PROCESSING LETTERS
- Landslide inventory maps: New tools for an old problem
- (2012) Fausto Guzzetti et al. EARTH-SCIENCE REVIEWS
- Multi-scale object-based image analysis and feature selection of multi-sensor earth observation imagery using random forests
- (2012) Dennis C. Duro et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis
- (2011) T. R. Martha et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Mass wasting triggered by the 2008 Wenchuan earthquake is greater than orogenic growth
- (2011) Robert N. Parker et al. Nature Geoscience
- Segmentation optimization and stratified object-based analysis for semi-automated geomorphological mapping
- (2011) Niels S. Anders et al. REMOTE SENSING OF ENVIRONMENT
- Object-oriented mapping of landslides using Random Forests
- (2011) André Stumpf et al. REMOTE SENSING OF ENVIRONMENT
- ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data
- (2010) Lucian Drǎguţ et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Threshold-free object and ground point separation in LIDAR data
- (2010) Marc Bartels et al. PATTERN RECOGNITION LETTERS
- Object based image analysis for remote sensing
- (2009) T. Blaschke ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia
- (2009) Biswajeet Pradhan et al. Landslides
- An Automated Artificial Neural Network System for Land Use/Land Cover Classification from Landsat TM Imagery
- (2009) Hui Yuan et al. Remote Sensing
- Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview
- (2008) Cees J. van Westen et al. ENGINEERING GEOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started