Related references
Note: Only part of the references are listed.Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
Phuong Thao Thi Ngo et al.
GEOSCIENCE FRONTIERS (2021)
Matrix SegNet: A Practical Deep Learning Framework for Landslide Mapping from Images of Different Areas with Different Spatial Resolutions
Bo Yu et al.
REMOTE SENSING (2021)
An Efficient Multi-Sensor Remote Sensing Image Clustering in Urban Areas via Boosted Convolutional Autoencoder (BCAE)
Maryam Rahimzad et al.
REMOTE SENSING (2021)
Exploring the psychiatric symptoms among people residing at flood affected areas of Kodagu district, Karnataka
Jose Jom Thomas et al.
CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH (2021)
Deep convolutional neural network-based pixel-wise landslide inventory mapping
Zhaoyu Su et al.
LANDSLIDES (2021)
Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster-Shafer Model
Omid Ghorbanzadeh et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
Jie Dou et al.
LANDSLIDES (2020)
Slope Failure Prediction Using Random Forest Machine Learning and LiDAR in an Eroded Folded Mountain Belt
Aaron E. Maxwell et al.
REMOTE SENSING (2020)
Fully Convolutional Siamese Autoencoder for Change Detection in UAV Aerial Images
Daniel B. Mesquita et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)
Residual Encoder-Decoder Conditional Generative Adversarial Network for Pansharpening
Zhimin Shao et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
Viet-Ha Nhu et al.
FORESTS (2020)
Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder
Ekaterina Kalinicheva et al.
REMOTE SENSING (2020)
Integrating MNF and HHT Transformations into Artificial Neural Networks for Hyperspectral Image Classification
Ming-Der Yang et al.
REMOTE SENSING (2020)
Mapping Post-Earthquake Landslide Susceptibility: A U-Net Like Approach
Yu Chen et al.
REMOTE SENSING (2020)
Spectral clustering via ensemble deep autoencoder learning (SC-EDAE)
Severine Affeldt et al.
PATTERN RECOGNITION (2020)
Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders
Jakub Nalepa et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)
Assessment of debris-flow potential dangers in the Jiuzhaigou Valley following the August 8, 2017, Jiuzhaigou earthquake, western China
Xudong Hu et al.
ENGINEERING GEOLOGY (2019)
Deep Learning Ensemble for Hyperspectral Image Classification
Yushi Chen et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2019)
On the use of Sentinel-2 for coastal habitat mapping and satellite-derived bathymetry estimation using downscaled coastal aerosol band
Dimitris Poursanidis et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2019)
Unsupervised remote sensing image segmentation based on a dual autoencoder
Ruonan Zhang et al.
JOURNAL OF APPLIED REMOTE SENSING (2019)
Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images
Lianfa Li
REMOTE SENSING (2019)
Unsupervised Clustering of Seismic Signals Using Deep Convolutional Autoencoders
S. Mostafa Mousavi et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2019)
A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia
Hejar Shahabi et al.
SENSORS (2019)
Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas
Sepideh Tavakkoli Piralilou et al.
REMOTE SENSING (2019)
Hyperspectral Pansharpening Based on Spectral Constrained Adversarial Autoencoder
Gang He et al.
REMOTE SENSING (2019)
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
Omid Ghorbanzadeh et al.
REMOTE SENSING (2019)
Unsupervised Classification for Landslide Detection from Airborne Laser Scanning
Caitlin J. Tran et al.
GEOSCIENCES (2019)
Convolutional Autoencoder-Based Multispectral Image Fusion
Arian Azarang et al.
IEEE ACCESS (2019)
Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)
Bahareh Kalantar et al.
GEOMATICS NATURAL HAZARDS & RISK (2018)
Prediction of the landslide susceptibility: Which algorithm, which precision?
Hamid Reza Pourghasemi et al.
CATENA (2018)
Landslide hazard assessment in the Himalayas (Nepal and Bhutan) based on Earth-Observation data
Christian Ambrosi et al.
ENGINEERING GEOLOGY (2018)
Discriminatively boosted image clustering with fully convolutional auto-encoders
Fengfu Li et al.
PATTERN RECOGNITION (2018)
A study of deep convolutional auto-encoders for anomaly detection in videos
Manasses Ribeiro et al.
PATTERN RECOGNITION LETTERS (2018)
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naive Bayes tree for landslide susceptibility modeling
Wei Chen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
An Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors
Yady Tatiana Solano-Correa et al.
REMOTE SENSING (2018)
A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture
Erxue Min et al.
IEEE ACCESS (2018)
Landslides and dam damage resulting from the Jiuzhaigou earthquake (8 August 2017), Sichuan, China
Bo Zhao et al.
ROYAL SOCIETY OPEN SCIENCE (2018)
Unsupervised Deep Feature Learning for Remote Sensing Image Retrieval
Xu Tang et al.
REMOTE SENSING (2018)
Deep Learning and Superpixel Feature Extraction Based on Contractive Autoencoder for Change Detection in SAR Images
Ning Lv et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Evaluation of Unsupervised Change Detection Methods Applied to Landslide Inventory Mapping Using ASTER Imagery
Rocio N. Ramos-Bernal et al.
REMOTE SENSING (2018)
APDA Water Vapor Retrieval Validation for Sentinel-2 Imagery
Aliaksei Makarau et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Hyperspectral anomaly detection based on stacked denoising autoencoders
Chunhui Zhao et al.
JOURNAL OF APPLIED REMOTE SENSING (2017)
Optimized Neural Architecture for Automatic Landslide Detection from High-Resolution Airborne Laser Scanning Data
Mustafa Ridha Mezaal et al.
APPLIED SCIENCES-BASEL (2017)
Minimum Noise Fraction versus Principal Component Analysis as a Preprocessing Step for Hyperspectral Imagery Denoising
Guangchun Luo et al.
CANADIAN JOURNAL OF REMOTE SENSING (2016)
Using convolutional features and a sparse autoencoder for land-use scene classification
Esam Othmana et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2016)
Shadow detection and removal in RGB VHR images for land use unsupervised classification
A. Movia et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)
Minimum Noise Fraction versus Principal Component Analysis as a Preprocessing Step for Hyperspectral Imagery Denoising
Guangchun Luo et al.
CANADIAN JOURNAL OF REMOTE SENSING (2016)
On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery
Wenzhi Zhao et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2015)
Segmented minimum noise fraction transformation for efficient feature extraction of hyperspectral images
Guan Lixin et al.
PATTERN RECOGNITION (2015)
Deep auto-encoder based clustering
Chunfeng Song et al.
INTELLIGENT DATA ANALYSIS (2014)
Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography
Ching-Weei Lin et al.
JOURNAL OF ASIAN EARTH SCIENCES (2013)
Landslides triggered by the 7 August 2009 Typhoon Morakot in southern Taiwan
Ching-Weei Lin et al.
ENGINEERING GEOLOGY (2011)
Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images
A. C. Mondini et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Object-oriented mapping of landslides using Random Forests
Andre Stumpf et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Feature Selection with the Boruta Package
Miron B. Kursa et al.
JOURNAL OF STATISTICAL SOFTWARE (2010)
Comparison between automated and manual mapping of typhoon-triggered landslides from SPOT-5 imagery
A. M. Borghuis et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2007)
Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama
L Wang et al.
REMOTE SENSING OF ENVIRONMENT (2004)
Share Paper
