Active-Learning Approaches for Landslide Mapping Using Support Vector Machines

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

(2020) Dong Van Dao et al.   CATENA

Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

(2020) Bahareh Kalantar et al.   Remote Sensing

Visualizing the effects of predictor variables in black box supervised learning models

(2020) Daniel W. Apley et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Semi-supervised active learning algorithm for SVMs based on QBC and tri-training

(2020) Hailong Xu et al.   Journal of Ambient Intelligence and Humanized Computing

Planet Image-Based Inventorying and Machine Learning-Based Susceptibility Mapping for the Landslides Triggered by the 2018 Mw6.6 Tomakomai, Japan Earthquake

(2019) Xiaoyi Shao et al.   Remote Sensing

Detailed mapping of shallow landslides in eastern Oklahoma and western Arkansas and potential triggering by Oklahoma earthquakes

(2019) Netra R. Regmi et al.   GEOMORPHOLOGY

Prediction of a multi-hazard chain by an integrated numerical simulation approach: the Baige landslide, Jinsha River, China

(2019) Xuanmei Fan et al.   Landslides

Machine learning algorithm validation with a limited sample size

(2019) Andrius Vabalas et al.   PLoS One

Earthquake-Induced Landslide Mapping for the 2018 Hokkaido Eastern Iburi Earthquake Using PALSAR-2 Data

(2019) Yusupujiang Aimaiti et al.   Remote Sensing

Geographic Object-Based Image Analysis for Automated Landslide Detection Using Open Source GIS Software

(2019) Raphael Knevels et al.   ISPRS International Journal of Geo-Information

Landslide Inventory Mapping From Bitemporal High-Resolution Remote Sensing Images Using Change Detection and Multiscale Segmentation

(2018) Zhi Yong Lv et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Sensitivity analysis of automatic landslide mapping: numerical experiments towards the best solution

(2018) Kamila Pawluszek et al.   Landslides

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

(2018) Dieu Tien Bui et al.   Remote Sensing

Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification

(2018) Jianzhe Lin et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Rainfall thresholds for possible landslide occurrence in Italy

(2017) Silvia Peruccacci et al.   GEOMORPHOLOGY

Active learning: an empirical study of common baselines

(2016) Maria E. Ramirez-Loaiza et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

Effectiveness of visually analyzing LiDAR DTM derivatives for earth and debris slide inventory mapping for statistical susceptibility modeling

(2015) H. Petschko et al.   Landslides

Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan

(2015) Jie Dou et al.   TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES

Active Learning by Querying Informative and Representative Examples

(2014) Sheng-Jun Huang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China

(2013) Ling Peng et al.   GEOMORPHOLOGY

Active Learning in the Spatial Domain for Remote Sensing Image Classification

(2013) Andre Stumpf et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Object-oriented identification of forested landslides with derivatives of single pulse LiDAR data

(2012) Miet Van Den Eeckhaut et al.   GEOMORPHOLOGY

Digital repeat photography for phenological research in forest ecosystems

(2011) Oliver Sonnentag et al.   AGRICULTURAL AND FOREST METEOROLOGY

Geomorphic process rates of landslides along a humidity gradient in the tropical Andes

(2011) J. Muenchow et al.   GEOMORPHOLOGY

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

(2011) Devis Tuia et al.   IEEE Journal of Selected Topics in Signal Processing

Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images With Active-Learning-Based Compound Classification

(2011) Begüm Demir et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Vascular Plant Diversity in Natural and Anthropogenic Ecosystems in the Andes of Southern Ecuador

(2010) Thorsten Peters et al.   MOUNTAIN RESEARCH AND DEVELOPMENT

Techniques for evaluating the performance of landslide susceptibility models

(2009) Paolo Frattini et al.   ENGINEERING GEOLOGY

Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling

(2009) Biswajeet Pradhan et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China

(2008) X. Yao et al.   GEOMORPHOLOGY