标题
Convolutional neural networks applied to semantic segmentation of landslide scars
作者
关键词
Satellite imagery, Deep learning, Landslide database, U-Nets
出版物
CATENA
Volume 201, Issue -, Pages 105189
出版商
Elsevier BV
发表日期
2021-02-15
DOI
10.1016/j.catena.2021.105189
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks
- (2020) Shunping Ji et al. Landslides
- Segmentation of roots in soil with U-Net
- (2020) Abraham George Smith et al. Plant Methods
- Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models
- (2020) Nikhil Prakash et al. Remote Sensing
- Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model
- (2020) Peng Liu et al. Remote Sensing
- Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
- (2019) Omid Ghorbanzadeh et al. Remote Sensing
- Large Scale Palm Tree Detection In High Resolution Satellite Images Using U-Net
- (2019) Maximilian Freudenberg et al. Remote Sensing
- A Simplified, Object-Based Framework for Efficient Landslide Inventorying Using LIDAR Digital Elevation Model Derivatives
- (2019) Michael Bunn et al. Remote Sensing
- Landslide recognition and mapping in a mixed forest environment from airborne LiDAR data
- (2019) Tolga Görüm ENGINEERING GEOLOGY
- Random forest and artificial neural networks in landslide susceptibility modeling: a case study of the Fão River Basin, Southern Brazil
- (2019) Guilherme Garcia de Oliveira et al. NATURAL HAZARDS
- Landslide mapping from multi-sensor data through improved change detection-based Markov random field
- (2019) Ping Lu et al. REMOTE SENSING OF ENVIRONMENT
- UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks
- (2019) Omid Ghorbanzadeh et al. Remote Sensing
- Using a U-net convolutional neural network to map woody vegetation extent from high resolution satellite imagery across Queensland, Australia
- (2019) Neil Flood et al. International Journal of Applied Earth Observation and Geoinformation
- Artificial neural network ensembles applied to the mapping of landslide susceptibility
- (2019) L. Bragagnolo et al. CATENA
- Landslide detection based on contour-based deep learning framework in case of national scale of Nepal in 2015
- (2019) Bo Yu et al. COMPUTERS & GEOSCIENCES
- The size, distribution, and mobility of landslides caused by the 2015 M w 7.8 Gorkha earthquake, Nepal
- (2018) Kevin Roback et al. GEOMORPHOLOGY
- How far are we from the use of satellite rainfall products in landslide forecasting?
- (2018) M.T. Brunetti et al. REMOTE SENSING OF ENVIRONMENT
- Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
- (2018) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Topography-driven satellite imagery analysis for landslide mapping
- (2018) M. Alvioli et al. Geomatics Natural Hazards & Risk
- Automated Satellite-based Landslide Identification Product for Nepal
- (2018) Jessica V. Fayne et al. Earth Interactions
- Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery
- (2018) Pengbin Zhang et al. SENSORS
- Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami
- (2018) Yanbing Bai et al. Remote Sensing
- Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
- (2017) Wei Chen et al. GEODERMA
- Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints
- (2017) Alessandro C. Mondini et al. International Journal of Applied Earth Observation and Geoinformation
- An integrated approach of analytical network process and fuzzy based spatial decision making systems applied to landslide risk mapping
- (2017) Hassan Abedi Gheshlaghi et al. JOURNAL OF AFRICAN EARTH SCIENCES
- A practical trial of landslide detection from single-temporal Landsat8 images using contour-based proposals and random forest: a case study of national Nepal
- (2017) Fang Chen et al. Landslides
- Assessing future changes in the occurrence of rainfall-induced landslides at a regional scale
- (2017) S.L. Gariano et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A new approach to temporal modelling for landslide hazard assessment using an extreme rainfall induced-landslide index
- (2016) Nikhil Nedumpallile Vasu et al. ENGINEERING GEOLOGY
- 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
- Three-Class Change Detection in Synthetic Aperture Radar Images Based on Deep Belief Network
- (2016) Qiunan Zhao et al. Journal of Computational and Theoretical Nanoscience
- Landslide mapping from aerial photographs using change detection-based Markov random field
- (2016) Zhongbin Li et al. REMOTE SENSING OF ENVIRONMENT
- Landslide susceptibility mapping in Mizunami City, Japan: A comparison between logistic regression, bivariate statistical analysis and multivariate adaptive regression spline models
- (2015) Liang-Jie Wang et al. CATENA
- Spatial and temporal analysis of a global landslide catalog
- (2015) Dalia Kirschbaum et al. GEOMORPHOLOGY
- 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
- Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models
- (2013) Himan Shahabi et al. CATENA
- Landslide inventory maps: New tools for an old problem
- (2012) Fausto Guzzetti et al. EARTH-SCIENCE REVIEWS
- Object-Oriented Change Detection for Landslide Rapid Mapping
- (2011) Ping Lu et al. IEEE Geoscience and Remote Sensing Letters
- Object-oriented mapping of landslides using Random Forests
- (2011) André Stumpf et al. REMOTE SENSING OF ENVIRONMENT
- Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
- (2009) Işık Yilmaz Environmental Earth Sciences
- Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: The Akaishi Mountains, Japan
- (2009) Hitoshi Saito et al. GEOMORPHOLOGY
- Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods
- (2009) Tapas R. Martha et al. GEOMORPHOLOGY
- A global landslide catalog for hazard applications: method, results, and limitations
- (2009) Dalia Bach Kirschbaum et al. NATURAL HAZARDS
- Representative rainfall thresholds for landslides in the Nepal Himalaya
- (2008) Ranjan Kumar Dahal et al. GEOMORPHOLOGY
- Comparative analysis of contributing parameters for rainfall-triggered landslides in the Lesser Himalaya of Nepal
- (2008) Ranjan Kumar Dahal et al. Environmental geology.
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