Landslide Detection in Real-Time Social Media Image Streams

[1]  E. Mark Lee,et al.  Landslide Risk Assessment , 2023 .

[2]  V. Banks,et al.  A Near-Real-Time Global Landslide Incident Reporting Tool Demonstrator Using Social Media and Artificial Intelligence , 2022, SSRN Electronic Journal.

[3]  Q. Guo,et al.  Loess Landslide Detection Using Object Detection Algorithms in Northwest China , 2022, Remote. Sens..

[4]  Steven Euijong Whang,et al.  Data collection and quality challenges in deep learning: a data-centric AI perspective , 2021, The VLDB Journal.

[5]  S. Loew,et al.  A new strategy to map landslides with a generalized convolutional neural network , 2021, Scientific Reports.

[6]  F. Guzzetti,et al.  Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future , 2021 .

[7]  Antonio Torralba,et al.  Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions , 2020, Inf. Process. Manag..

[8]  Candan Gokceoglu,et al.  DEVELOPMENT OF A CITSCI AND ARTIFICIAL INTELLIGENCE SUPPORTED GIS PLATFORM FOR LANDSLIDE DATA COLLECTION , 2020 .

[9]  Ali P. Yunus,et al.  Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance , 2020 .

[10]  Basant Kumar,et al.  Review on remote sensing methods for landslide detection using machine and deep learning , 2020, Trans. Emerg. Telecommun. Technol..

[11]  Muhammad Imran,et al.  GeoCoV19 , 2020, ACM SIGSPATIAL Special.

[12]  Weile Li,et al.  Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks , 2020, Landslides.

[13]  D. Chicco,et al.  The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation , 2020, BMC Genomics.

[14]  M. Dhital,et al.  Building Resilience to Chronic Landslide Hazard Through Citizen Science , 2019, Front. Earth Sci..

[15]  Omid Ghorbanzadeh,et al.  Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas , 2019, Remote. Sens..

[16]  Candan Gokceoglu,et al.  A Convolutional Neural Network Architecture for Auto-Detection of Landslide Photographs to Assess Citizen Science and Volunteered Geographic Information Data Quality , 2019, ISPRS Int. J. Geo Inf..

[17]  Dalia Kirschbaum,et al.  Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR) , 2019, PloS one.

[18]  Quoc V. Le,et al.  EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.

[19]  Candan Gokceoglu,et al.  A CitSci app for landslide data collection , 2018, Landslides.

[20]  D. Petley,et al.  Global fatal landslide occurrence from 2004 to 2016 , 2018, Natural Hazards and Earth System Sciences.

[21]  Yifei Cui,et al.  Utilizing crowdsourcing to enhance the mitigation and management of landslides , 2018, Landslides.

[22]  Firoj Alam,et al.  Processing Social Media Images by Combining Human and Machine Computing during Crises , 2018, Int. J. Hum. Comput. Interact..

[23]  Frank Hutter,et al.  Decoupled Weight Decay Regularization , 2017, ICLR.

[24]  Firoj Alam,et al.  Image4Act: Online Social Media Image Processing for Disaster Response , 2017, 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[25]  Calton Pu,et al.  REX: Rapid Ensemble Classification System for Landslide Detection Using Social Media , 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

[26]  Kilian Q. Weinberger,et al.  Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[27]  Bolei Zhou,et al.  Learning Deep Features for Discriminative Localization , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[28]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[29]  Sergey Ioffe,et al.  Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[30]  Bruce D. Malamud,et al.  Enriching Great Britain's National Landslide Database by searching newspaper archives , 2015 .

[31]  Tom Dijkstra,et al.  The National Landslide Database of Great Britain: Acquisition, communication and the role of social media , 2015 .

[32]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[33]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[34]  Michael S. Bernstein,et al.  ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.

[35]  Ivan Laptev,et al.  Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[36]  Xiang Zhang,et al.  OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.

[37]  Rob Fergus,et al.  Visualizing and Understanding Convolutional Networks , 2013, ECCV.

[38]  Trevor Darrell,et al.  Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[39]  Trevor Darrell,et al.  DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.

[40]  C. Pennington,et al.  2012 : landslide year? , 2013 .

[41]  Veronica Tofani,et al.  Technical note: use of remote sensing for landslide studies in Europe , 2013 .

[42]  Junwei Han,et al.  Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA , 2013 .

[43]  Nicola Casagli,et al.  A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories , 2012, Remote. Sens..

[44]  Susan D. Moeller "Regarding the Pain of Others": Media, Bias and the Coverage of International, Disasters , 2006 .

[45]  Peter Lessing,et al.  Landslide risk assessment , 1983 .

[46]  Gerasimos Razis,et al.  Latent Twitter Image Information for Social Analytics , 2021, Inf..

[47]  Calton Pu,et al.  LITMUS: Landslide detection by integrating multiple sources , 2014, ISCRAM.

[48]  Oddvar Kjekstad,et al.  Economic and Social Impacts of Landslides , 2009 .

[49]  P. Venkat Rangan,et al.  Wireless Sensor Network for Landslide Detection , 2009, ICWN.

[50]  J. Fleiss Measuring nominal scale agreement among many raters. , 1971 .