Earthquake-Induced Building-Damage Mapping Using Explainable AI (XAI)

Improved CNN Classification Method for Groups of Buildings Damaged by Earthquake, Based on High Resolution Remote Sensing Images

(2020) Haojie Ma et al.   Remote Sensing

Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami

(2020) Luis Moya et al.   REMOTE SENSING OF ENVIRONMENT

Earthquake hazard and risk assessment using machine learning approaches at Palu, Indonesia

(2020) Ratiranjan Jena et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Segment-by-segment comparison technique for earthquake-induced building damage map generation using satellite imagery

(2020) Niloofar Khodaverdizahraee et al.   International Journal of Disaster Risk Reduction

Pathways and challenges of the application of artificial intelligence to geohazards modelling

(2020) Abhirup Dikshit et al.   GONDWANA RESEARCH

An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images

(2020) Abolfazl Abdollahi et al.   Geocarto International

An Artificial Intelligence Application for Post-Earthquake Damage Mapping in Palu, Central Sulawesi, Indonesia

(2019) Mutiara Syifa et al.   SENSORS

Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia

(2019) Bruno Adriano et al.   Remote Sensing

Feature selection in image analysis: a survey

(2019) Verónica Bolón-Canedo et al.   ARTIFICIAL INTELLIGENCE REVIEW

Optimal segmentation of high spatial resolution images for the classification of buildings using random forests

(2019) James Bialas et al.   International Journal of Applied Earth Observation and Geoinformation

UAV-Based Structural Damage Mapping: A Review

(2019) Norman Kerle et al.   ISPRS International Journal of Geo-Information

XAI—Explainable artificial intelligence

(2019) David Gunning et al.   Science Robotics

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Volunteered Geographic Information for Disaster Risk Reduction—The Missing Maps Approach and Its Potential within the Red Cross and Red Crescent Movement

(2018) Stefan Scholz et al.   Remote Sensing

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

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

Using high-resolution satellite imagery to provide a relief priority map after earthquake

(2017) Hamid Reza Ranjbar et al.   NATURAL HAZARDS

Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers

(2017) Lei Ma et al.   ISPRS International Journal of Geo-Information

Building Damage Detection Using Object-Based Image Analysis and ANFIS From High-Resolution Image (Case Study: BAM Earthquake, Iran)

(2016) Milad Janalipour et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Extreme Learning Machine for Multilayer Perceptron

(2016) Jiexiong Tang et al.   IEEE Transactions on Neural Networks and Learning Systems

An Automatic Procedure for Early Disaster Change Mapping Based on Optical Remote Sensing

(2016) Yong Ma et al.   Remote Sensing

Detection of Urban Damage Using Remote Sensing and Machine Learning Algorithms: Revisiting the 2010 Haiti Earthquake

(2016) Austin Cooner et al.   Remote Sensing

A Soft Computing Method for Damage Mapping Using VHR Optical Satellite Imagery

(2015) Babak Mansouri et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

An AUC-based permutation variable importance measure for random forests

(2013) Silke Janitza et al.   BMC BIOINFORMATICS

A comprehensive review of earthquake-induced building damage detection with remote sensing techniques

(2013) Laigen Dong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Building Extraction and Rubble Mapping for City Port-au-Prince Post-2010 Earthquake with GeoEye-1 Imagery and Lidar Data

(2013) Serkan Ural et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Learning Hierarchical Features for Scene Labeling

(2012) Clement Farabet et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Remote Sensing and Earthquake Damage Assessment: Experiences, Limits, and Perspectives

(2012) Fabio Dell'Acqua et al.   PROCEEDINGS OF THE IEEE

Postearthquake Building Damage Assessment Using Multi-Mutual Information From Pre-Event Optical Image and Postevent SAR Image

(2011) Tian-Lin Wang et al.   IEEE Geoscience and Remote Sensing Letters

Characterization of Land Cover Types in TerraSAR-X Images by Combined Analysis of Speckle Statistics and Intensity Information

(2011) T Esch et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Delineation of Urban Footprints From TerraSAR-X Data by Analyzing Speckle Characteristics and Intensity Information

(2010) T. Esch et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Building-damage detection using post-seismic high-resolution SAR satellite data

(2010) Timo Balz et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine

(2010) Shijin Li et al.   KNOWLEDGE-BASED SYSTEMS

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT

Contribution of two plane detection algorithms to recognition of intact and damaged buildings in lidar data

(2008) Miriam Rehor et al.   PHOTOGRAMMETRIC RECORD