Social Media: New Perspectives to Improve Remote Sensing for Emergency Response
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Jun Li | Shutao Li | Yu Liu | Yandong Wang | Javier Plaza | Zhi He | Jinfen Chen | Henglin Wu | Shutao Li | J. Plaza | Yandong Wang | Yu Liu | Jun Li | Jinfen Chen | Zhi He | Henglin Wu
[1] Vikram Krishnamurthy,et al. A Tutorial on Interactive Sensing in Social Networks , 2014, IEEE Transactions on Computational Social Systems.
[2] Gang Wang,et al. Deep Learning-Based Classification of Hyperspectral Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[3] Binbin Pan,et al. A novel discriminant criterion based on feature fusion strategy for face recognition , 2015, Neurocomputing.
[4] Nima Tajbakhsh,et al. Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs , 2017, Pattern Recognit..
[5] Ioannis K. Tsanis,et al. Developing Geographic Information Systems for Land Use Impact Assessment in Flooding Conditions , 1998 .
[6] Xiao Li,et al. Machine Learning Paradigms for Speech Recognition: An Overview , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[7] Anthony C. Robinson,et al. Leveraging geospatially-oriented social media communications in disaster response , 2012, ISCRAM.
[8] Atsuo Yoshitaka,et al. A Survey on Content-Based Retrieval for Multimedia Databases , 1999, IEEE Trans. Knowl. Data Eng..
[9] Chin-Hui Lee,et al. A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition , 2016, Neurocomputing.
[10] Vassilis Kostakos,et al. CrisisTracker: Crowdsourced social media curation for disaster awareness , 2013, IBM J. Res. Dev..
[11] Xizhao Wang,et al. Learning from big data with uncertainty - editorial , 2015, J. Intell. Fuzzy Syst..
[12] Doris Dransch,et al. Utilising social media contents for flood inundation mapping , 2016 .
[13] Wang Yu-x. Urban Waterlogging Monitoring and Warning System Based on GIS and RS , 2013 .
[14] Iman Saleh,et al. Social-Network-Sourced Big Data Analytics , 2013, IEEE Internet Computing.
[15] Jiajun Zhang,et al. Deep Neural Networks in Machine Translation: An Overview , 2015, IEEE Intelligent Systems.
[16] Kayoko Yamamoto,et al. Development of Social Media GIS to Support Information Utilization from Normal Times to Disaster Outbreak Times , 2015 .
[17] P. Reichenbach,et al. Gis Technology in Mapping Landslide Hazard , 1995 .
[18] Stuart E. Middleton,et al. Real-Time Crisis Mapping of Natural Disasters Using Social Media , 2014, IEEE Intelligent Systems.
[19] P. Frazier,et al. Water body detection and delineation with Landsat TM data. , 2000 .
[20] A. Dhakal,et al. Detection of areas associated with flood and erosion caused by a heavy rainfall using multitemporal Landsat TM data , 2002 .
[21] Min Li,et al. Sparse and Low-Rank Coupling Image Segmentation Model Via Nonconvex Regularization , 2015, Int. J. Pattern Recognit. Artif. Intell..
[22] M. Campagna,et al. The Role of Social Media Geographic Information (SMGI) in Spatial Planning , 2015 .
[23] Deanne Bird,et al. Flooding Facebook - the use of social media during the Queensland and Victorian floods , 2012 .
[24] Lei Guo,et al. Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[25] Xing Xie,et al. User-Service Rating Prediction by Exploring Social Users' Rating Behaviors , 2016, IEEE Transactions on Multimedia.
[26] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[27] Derek C. Rose,et al. Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier] , 2010, IEEE Computational Intelligence Magazine.
[28] Yong Wang,et al. An efficient method for mapping flood extent in a coastal floodplain using Landsat TM and DEM data , 2002 .
[29] Damien Serre,et al. Critical Data Source; Tool or Even Infrastructure? Challenges of Geographic Information Systems and Remote Sensing for Disaster Risk Governance , 2015, ISPRS Int. J. Geo Inf..
[30] Vijayan Sugumaran,et al. Crowdsourcing based spatial mining of urban emergency events using social media , 2015, EM-GIS.
[31] Paul D. Bates,et al. Automatic near real-time selection of flood water levels from high resolution Synthetic Aperture Radar images for assimilation into hydraulic models: A case study , 2012 .
[32] Joshua D Werts,et al. An Integrated WebGIS Framework for Volunteered Geographic Information and Social Media in Soil and Water Conservation , 2012, Environmental Management.
[33] Junwei Han,et al. Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[34] John Krumm,et al. Discovering points of interest from users’ map annotations , 2008 .
[35] J. C. Knox,et al. Orbital SAR remote sensing of a river flood wave , 1998 .
[36] Huajun Chen,et al. Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis , 2016, Comput. Intell. Neurosci..
[37] Christopher Cheong,et al. Social Media Data Mining: A Social Network Analysis Of Tweets During The 2010-2011 Australian Floods , 2011, PACIS.
[38] S. Natarajan,et al. How social media can contribute during disaster events? Case study of Chennai floods 2015 , 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).
[39] Michelle R. Guy,et al. Twitter earthquake detection: earthquake monitoring in a social world , 2012 .
[40] Ching Y. Suen,et al. Detecting predatory conversations in social media by deep Convolutional Neural Networks , 2016, Digit. Investig..
[41] Zhihui Lai,et al. Manifold discriminant regression learning for image classification , 2015, Neurocomputing.
[42] Kathleen M. Carley,et al. Using tweets to support disaster planning, warning and response , 2016 .
[43] Vijayan Sugumaran,et al. Participatory sensing-based semantic and spatial analysis of urban emergency events using mobile social media , 2016, EURASIP J. Wirel. Commun. Netw..
[44] Jefersson Alex dos Santos,et al. Towards better exploiting convolutional neural networks for remote sensing scene classification , 2016, Pattern Recognit..
[45] Gian Luca Foresti,et al. Situational awareness in smart environments: socio-mobile and sensor data fusion for emergency response to disasters , 2015, J. Ambient Intell. Humaniz. Comput..
[46] Yutaka Matsuo,et al. Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.
[47] Junwei Han,et al. A Survey on Object Detection in Optical Remote Sensing Images , 2016, ArXiv.
[48] Yutaka Matsuo,et al. Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development , 2013, IEEE Transactions on Knowledge and Data Engineering.
[49] P. Bates. Integrating remote sensing data with flood inundation models: how far have we got? , 2012 .
[50] Hui Zhang,et al. Semantic analysis on microblog data for emergency response in typhoon Chan-hom , 2015, EM-GIS.
[51] P. Bates,et al. Near real time satellite imagery to support and verify timely flood modelling , 2009 .
[52] Edilson de Aguiar,et al. Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order , 2017, Pattern Recognit..
[53] Ferda Ofli,et al. Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response , 2016, Big Data.
[54] Alexander Zipf,et al. Exploring the Geographical Relations Between Social Media and Flood Phenomena to Improve Situational Awareness - A Study About the River Elbe Flood in June 2013 , 2014, AGILE Conf..
[55] Basit Shafiq,et al. Spatial Computing and Social Media in the Context of Disaster Management , 2012, IEEE Intelligent Systems.
[56] Xuelong Li,et al. Semi-Supervised Multitask Learning for Scene Recognition , 2015, IEEE Transactions on Cybernetics.
[57] Martha Grabowski,et al. Social Media and Warning Response Impacts in Extreme Events: Results from a Naturally Occurring Experiment , 2012, 2012 45th Hawaii International Conference on System Sciences.
[58] Anthony Stefanidis,et al. #Earthquake: Twitter as a Distributed Sensor System , 2013, Trans. GIS.
[59] Kyumin Lee,et al. You are where you tweet: a content-based approach to geo-locating twitter users , 2010, CIKM.
[60] Andreas Dengel,et al. Contextual Enrichment of Remote-Sensed Events with Social Media Streams , 2016, ACM Multimedia.
[61] Bo Du,et al. Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art , 2016, IEEE Geoscience and Remote Sensing Magazine.
[62] Leysia Palen,et al. Mastering social media: An analysis of Jefferson County's communications during the 2013 Colorado floods , 2014, ISCRAM.
[63] Helen L. Partridge,et al. Exploring information experience using social media during the 2011 Queensland Floods: a pilot study , 2012 .
[64] Ronald M. Summers,et al. Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique , 2016 .
[65] David S. Ebert,et al. Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition , 2012, 2012 IEEE Conference on Visual Analytics Science and Technology (VAST).
[66] Xuelong Li,et al. Latent Semantic Minimal Hashing for Image Retrieval , 2017, IEEE Transactions on Image Processing.
[67] Bertrand De Longueville,et al. "OMG, from here, I can see the flames!": a use case of mining location based social networks to acquire spatio-temporal data on forest fires , 2009, LBSN '09.
[68] Pierre Alliez,et al. Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[69] R. Colombo,et al. Integration of remote sensing data and GIS for accurate mapping of flooded areas , 2002 .
[70] Zongtian Liu,et al. Event Recognition Based on Deep Learning in Chinese Texts , 2016, PloS one.
[71] Daniel Dajun Zeng,et al. Mining opinion summarizations using convolutional neural networks in Chinese microblogging systems , 2016, Knowl. Based Syst..
[72] Kayoko Yamamoto. Development and Operation of Social Media GIS for Disaster Risk Management in Japan , 2015 .
[73] K. Field,et al. Cartoblography: Experiments in Using and Organising the Spatial Context of Micro‐blogging , 2010 .
[74] Sukeshini A. Grandhi,et al. P3 systems: putting the place back into social networks , 2005, IEEE Internet Computing.
[75] Michael F. Goodchild,et al. GEDMWA: geospatial exploratory data mining web agent , 2008, GIS '08.
[76] Yong Wang,et al. Advances in Remote Sensing of Flooding , 2015 .
[77] Jing Ma,et al. The socio-spatial dimension of behavior analysis: Frontiers and progress in Chinese behavioral geography , 2016, Journal of Geographical Sciences.
[78] Lei Guo,et al. Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[79] Yutaka Matsuo,et al. Semantic Twitter: Analyzing Tweets for Real-Time Event Notification , 2008, BlogTalk.
[80] Luke de Oliveira,et al. Image Processing, Computer Vision, and Deep Learning: new approaches to the analysis and physics interpretation of LHC events , 2016, Journal of Physics: Conference Series.
[81] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[82] Qunying Huang,et al. Understanding social media data for disaster management , 2015, Natural Hazards.
[83] Huajun Chen,et al. Monitoring Urban Waterlogging Disaster Using Social Sensors , 2014, CSWS.
[84] O. K. Gowrishankar,et al. Personalized Travel Sequence Recommendation on Multi-Source Big Social Media , 2016, IEEE Transactions on Big Data.
[85] Keith W. Miller,et al. Big Data: New Opportunities and New Challenges [Guest editors' introduction] , 2013, Computer.
[86] Adam Acar,et al. Twitter for crisis communication: lessons learned from Japan's tsunami disaster , 2011, Int. J. Web Based Communities.
[87] Emily Schnebele,et al. Improving remote sensing flood assessment using volunteered geographical data , 2013 .
[88] Adam L. Berger,et al. A Maximum Entropy Approach to Natural Language Processing , 1996, CL.
[89] A. Stefanidis,et al. Harvesting ambient geospatial information from social media feeds , 2011, GeoJournal.
[90] Angela Olasz,et al. Using big geospatial data for fast flood detection: Developments from the IQmulus project , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[91] Jin Li,et al. Spatial interpolation methods applied in the environmental sciences: A review , 2014, Environ. Model. Softw..
[92] M. Clark,et al. Putting water in its place: a perspective on GIS in hydrology and water management , 1998 .
[93] Jian Bai,et al. Image decomposition combining a total variational filter and a Tikhonov quadratic filter , 2015, Multidimens. Syst. Signal Process..
[94] Konrad Paul Kording,et al. Fall Classification by Machine Learning Using Mobile Phones , 2012, PloS one.
[95] J Brian Houston,et al. Social media and disasters: a functional framework for social media use in disaster planning, response, and research. , 2015, Disasters.
[96] Michael F. Goodchild,et al. The convergence of GIS and social media: challenges for GIScience , 2011, Int. J. Geogr. Inf. Sci..
[97] Lars Backstrom,et al. Find me if you can: improving geographical prediction with social and spatial proximity , 2010, WWW '10.
[98] Norman M. Sadeh,et al. The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City , 2012, ICWSM.
[99] P. Earle,et al. OMG Earthquake! Can Twitter Improve Earthquake Response? , 2009 .
[100] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[101] Xiao Liu,et al. Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset , 2016, Neurocomputing.
[102] M. Goodchild,et al. Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice , 2012 .
[103] Kathleen M. Carley,et al. Crowd sourcing disaster management: The complex nature of Twitter usage in Padang Indonesia , 2016 .
[104] LinLin Shen,et al. 3D Gabor wavelets for evaluating SPM normalization algorithm , 2008, Medical Image Anal..
[105] Michael F. Goodchild,et al. Please Scroll down for Article International Journal of Digital Earth Crowdsourcing Geographic Information for Disaster Response: a Research Frontier Crowdsourcing Geographic Information for Disaster Response: a Research Frontier , 2022 .
[106] George Baciu,et al. Lightness biased cartoon-and-texture decomposition for textile image segmentation , 2015, Neurocomputing.
[107] J. A. Quintanilha,et al. Flooding and inundation collaborative mapping – use of the Crowdmap/Ushahidi platform in the city of Sao Paulo, Brazil , 2018 .
[108] Heidi Kreibich,et al. Social media as an information source for rapid flood inundation mapping , 2015 .
[109] Tao Mei,et al. Service Quality Evaluation by Exploring Social Users’ Contextual Information , 2016, IEEE Transactions on Knowledge and Data Engineering.
[110] Rui Li,et al. TEDAS: A Twitter-based Event Detection and Analysis System , 2012, 2012 IEEE 28th International Conference on Data Engineering.
[111] D. Dransch,et al. Volunteered Geographic Information for Disaster Management with Application to Rapid Flood Damage Estimation , 2019 .
[112] Jie Yin,et al. Using Social Media to Enhance Emergency Situation Awareness , 2012, IEEE Intelligent Systems.
[113] Geert-Jan Houben,et al. Semantics + filtering + search = twitcident. exploring information in social web streams , 2012, HT '12.
[114] Daniel A. Keim,et al. Visual Analysis of Social Media Data , 2013, Computer.
[115] Anthony Stefanidis,et al. Geosocial gauge: a system prototype for knowledge discovery from social media , 2013, Int. J. Geogr. Inf. Sci..
[116] Xiaoqiang Lu,et al. Scene Recognition by Manifold Regularized Deep Learning Architecture , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[117] Cecilia Mascolo,et al. Socio-Spatial Properties of Online Location-Based Social Networks , 2011, ICWSM.
[118] Xuelong Li,et al. Manifold Regularized Sparse NMF for Hyperspectral Unmixing , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[119] Hyun Myung,et al. Weighted joint-based human behavior recognition algorithm using only depth information for low-cost intelligent video-surveillance system , 2016, Expert Syst. Appl..
[120] Miriam J. Metzger,et al. The credibility of volunteered geographic information , 2008 .
[121] Xueming Qian,et al. Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[122] Sarah Vieweg,et al. Processing Social Media Messages in Mass Emergency , 2014, ACM Comput. Surv..
[123] Shiyuan Xu,et al. Community-based scenario modelling and disaster risk assessment of urban rainstorm waterlogging , 2011 .