A Geospatial Ontological Model for Remote Sensing Scene Semantic Knowledge Mining for the Flood Disaster
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8496405/8517275/08517680.pdf?arnumber=8517680
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Mapping deactivated mine areas in the amazon forest impacted by seasonal flooding: Assessing soil-hydrological processes and quality dynamics by remote sensing and geophysical techniques;Remote Sensing Applications: Society and Environment;2024-04
2. A hybrid ontology‐based semantic and machine learning model for the prediction of spring breakup;Computer-Aided Civil and Infrastructure Engineering;2023-07-27
3. Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
4. An effective ontology-based query response model for risk assessment in urban flood disaster management;Journal of Intelligent & Fuzzy Systems;2023-03-09
5. The prediction of mid-winter and spring breakups of ice cover on Canadian rivers using a hybrid ontology-based and machine learning model;Environmental Modelling & Software;2023-02
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