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Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions

Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde
2021 ISPRS International Journal of Geo-Information  
The knowledge-graph representation of scenes has been formalized through the development of a Remote Sensing Scene Ontology(RSSO)—a core ontology for an inclusive remote-sensing-scene data product.  ...  To minimize the semantic gap for remote-sensing-scene understanding, the framework puts forward the transformation of scenes by using semantic-web technologies to Remote Sensing Scene Knowledge Graphs  ...  Acknowledgments: The authors are grateful to the Google Cloud Research Credits Program for providing the credits that enabled the use of GCP for training and validating the deep-learning models.  ... 
doi:10.3390/ijgi10010032 fatcat:warifoopejaqfglljmkbatjrke

Information Content of Very-High-Resolution SAR Images: Semantics, Geospatial Context, and Ontologies

Corneliu Octavian Dumitru, Shiyong Cui, Gottfried Schwarz, Mihai Datcu
2015 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Applications that may result from this work can be a semantic catalog of urban images to be used in crisis situations or after a disaster.  ...  In addition, the proposed taxonomies can become a basis for building a semantic catalog of satellite images. Finally, we defined four powerful types of high-level queries.  ...  Singh for their software development during the first version of the tool.  ... 
doi:10.1109/jstars.2014.2363595 fatcat:o6bqsd6vd5aqreu4dgelrfk6t4

A review of EO image information mining [article]

Marco Quartulli, Igor G. Olaizola
2012 arXiv   pre-print
The solutions envisaged for the issues related to feature simplification and synthesis, indexing, semantic labeling are reviewed. The methodologies for query specification and execution are analyzed.  ...  We analyze the state of the art of content-based retrieval in Earth observation image archives focusing on complete systems showing promise for operational implementation.  ...  implementing expert knowledge and describing a representative example for the proposed workflow from remote sensing imagery to GIS.  ... 
arXiv:1203.0747v2 fatcat:nwiylcsdrnhthi753xcxwxgo7e

Methodologies and applications in Digital China

JingNong Weng, Irfan Rafique, Maissom Qanber Abbasi
2012 Chinese Science Bulletin  
Digital China can be viewed as a nationwide strategic project for China in response to the challenge of sustainable development of population, resources, and environment.  ...  This article portrays a concise review on an extensive range of state-of-art advancement in methodologies and applications for Digital China, which includes models, algorithms, theory framework, engineering  ...  [44] have introduced the design and implementation of a geo-ontology-based semantic wiki system that supports users to edit and retrieve geographical knowledge.  ... 
doi:10.1007/s11434-012-5446-y fatcat:acv3b4l5mfb55fsqkcbrd55zka

Survey of data management and analysis in disaster situations

Vagelis Hristidis, Shu-Ching Chen, Tao Li, Steven Luis, Yi Deng
2010 Journal of Systems and Software  
In this paper we make an effort to survey and organize the current knowledge in the management and analysis of data in disaster situations, as well as present the challenges and future research directions  ...  A key role of computer scientists has been in devising ways to manage and analyze the data produced in disaster management situations.  ...  Kaempf et al. (2003) is another such project for flood management. They describe a methodology for building a flood-related ontology.  ... 
doi:10.1016/j.jss.2010.04.065 fatcat:zo67x6klgbcmtewvxvobeoqu5i

Smart City Ontologies and Their Applications: A Systematic Literature Review

Antonio De Nicola, Maria Luisa Villani
2021 Sustainability  
To this purpose, we conducted a systematic literature review finalized to presenting the ontologies, and the methods and technological systems where ontologies play a relevant role in shaping current smart  ...  Ontologies have become viable and effective tools to practitioners for developing applications requiring data and process interoperability, big data management, and automated reasoning on knowledge.  ...  The Dynamic Flood Ontology (DFO) [36] is an ontological upper model to represent the spatiotemporal changes occurring in a flood disaster situation.  ... 
doi:10.3390/su13105578 fatcat:pvesa2mc7nc7pd4jejzrcebueq

Managing Big, Linked, and Open Earth-Observation Data: Using the TELEIOS\/LEO software stack

Manolis Koubarakis, Kostis Kyzirakos, Charalampos Nikolaou, George Garbis, Konstantina Bereta, Roi Dogani, Stella Giannakopoulou, Panayiotis Smeros, Dimitrianos Savva, George Stamoulis, Giannis Vlachopoulos, Stefan Manegold (+4 others)
2016 IEEE Geoscience and Remote Sensing Magazine  
september 2016 ieee Geoscience and remote sensinG maGazine 0274-6638/16©2016IEEE 23 B ig Earth-observation (EO) data that are made freely available by space agencies come from various archives.  ...  Open EO Data for Precision Farming (LEO).  ...  of Remote Sensing Companies.  ... 
doi:10.1109/mgrs.2016.2530410 fatcat:ha4yibpkb5cdhfxrhkev4625vm

GIS Mashups [chapter]

Ilya Zaslavsky
2017 Encyclopedia of GIS  
It took more than a decade from this point for the larger computer science community to investigate GPs for pattern analysis purposes.  ...  Typically, we assume a parametrized covariance structure underlying the data to be modeled.  ...  Knowledge Discovery and Data Mining Knowledge discovery and data mining (KDD) involves identifying novel patterns or models in often a large amount of data.  ... 
doi:10.1007/978-3-319-17885-1_530 fatcat:rrr5buo3zrevpigdtjwhewipvm

Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization [article]

Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz-Rodríguez, Océane Boulais, Aruna Sankaranarayanan, Aaron Piña, Yarin Gal, Chedy Raïssi, Alexander Lavin, Dava Newman
2021 arXiv   pre-print
Floods, for example, are the most frequent natural disaster, and better tools for flood risk communication could increase the support for flood-resilient infrastructure development.  ...  As climate change increases the intensity of natural disasters, society needs better tools for adaptation.  ...  She is working on open-ended learning and continual/lifelong learning for applications in computer vision and robotics.Her background is on knowledge engineering (semantic web, ontologies and knowledge  ... 
arXiv:2104.04785v3 fatcat:3wrjvnszubgabhonww7eyh7kae

Review of Web Mapping: Eras, Trends and Directions

Bert Veenendaal, Maria Antonia Brovelli, Songnian Li
2017 ISPRS International Journal of Geo-Information  
Huge volumes of geospatial data are available and daily being captured online, and are used in web applications and maps for viewing, analysis, modeling and simulation.  ...  Almost every mobile phone now has location services and every event and object on the earth has a location.  ...  The authors appreciate the feedback from web mapping students who used the framework in their curriculum, and would like to thank anonymous reviewers for their constructive comments, which helped improve  ... 
doi:10.3390/ijgi6100317 fatcat:7zd4zn55o5am5fn2sipmzdiuoa

ExtremeEarth Meets Satellite Data From Space

Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Krmer (+14 others)
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
New techniques in the areas of remote sensing and artificial intelligence with an emphasis on deep learning are developed.  ...  In this paper, we present the software architecture of ExtremeEarth that aims at the development of scalable deep learning and geospatial analytics techniques for processing and analyzing petabytes of  ...  His work focuses on distributed tools for the transformation of large volumes of data in the RDF model and interlinking techniques for linked geospatial data.  ... 
doi:10.1109/jstars.2021.3107982 fatcat:fxmpayska5bvlj7ibw3peqhuzu

A Big Data Reference Architecture for Emergency Management

Carlos A. Iglesias, Alfredo Favenza, Álvaro Carrera
2020 Information  
This paper aims to provide a reference architecture for emergency management that instantiates the NIST Big Data Reference Architecture to provide a common language and enable the comparison of solutions  ...  Nowadays, we are witnessing a shift in the way emergencies are being managed.  ...  interoperability based on ontologies [146, 147] to exploit the potential of disaster knowledge graphs [148] .  ... 
doi:10.3390/info11120569 fatcat:kxostcrulbh7lpnd3qehl7h2by

Geospatial Narratives and their Spatio-Temporal Dynamics: Commonsense Reasoning for High-level Analyses in Geographic Information Systems [article]

Mehul Bhatt, Jan Oliver Wallgruen
2013 arXiv   pre-print
We present the conceptual overview and architecture for the development of high-level semantic and qualitative analytical capabilities for dynamic geospatial domains.  ...  The modelling, analysis, and visualisation of dynamic geospatial phenomena has been identified as a key developmental challenge for next-generation Geographic Information Systems (GIS).  ...  as satellite imagery and remote sensing, land-surveys, physical environmental sensing a la sensor networks, etc.  ... 
arXiv:1307.2541v2 fatcat:d43muvnsnzaazlqdrkbem3zmbu

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
their information content, and to generate semantic annotations for them.  ...  In this publication, we focus on the Polar case which requires the selection of validation areas, the generation of a training dataset, the development and testing of deep learning algorithms, and the  ...  Remote sensing imagery is most widely used for water resources in remote area and monotonious regions. Several techniques were used to extract the glaciers lake surface using Landsat imagery.  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

Geospatial Narratives and Their Spatio-Temporal Dynamics: Commonsense Reasoning for High-Level Analyses in Geographic Information Systems

Mehul Bhatt, Jan Wallgrün
2014 ISPRS International Journal of Geo-Information  
The modeling, analysis and visualization of dynamic geospatial phenomena has been identified as a key developmental challenge for next-generation Geographic Information Systems (GIS).  ...  We present the conceptual overview and architecture for the development of high-level semantic and qualitative analytical capabilities for dynamic geospatial domains.  ...  Acknowledgments We would like to thank the anonymous reviewers for their valuable comments and feedback.  ... 
doi:10.3390/ijgi3010166 fatcat:i4ldhndv3jcxdgi2kj7pttvofa
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