Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities
GIScience & Remote Sensing, 2018 Over the last two decades (since ca. 2000), Geographic Object-Based Image Analysis (GEOBIA) has emerged as a new paradigm to analyzing high-spatial resolution remote-sensing imagery. During this time, research interests have demonstrated a shift from the
Gang Chen +3 more
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A Framework for Geographic Object-Based Image Analysis (GEOBIA) based on geographic ontology [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 GEOBIA (Geographic Object-Based Image Analysis) is not only a hot topic of current remote sensing and geographical research. It is believed to be a paradigm in remote sensing and GIScience.
H. Y. Gu, H. T. Li, L. Yan, X. J. Lu
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Operational Automatic Remote Sensing Image Understanding Systems: Beyond Geographic Object-Based and Object-Oriented Image Analysis (GEOBIA/GEOOIA). Part 1: Introduction [PDF]
Remote Sensing, 2012 According to existing literature and despite their commercial success, state-of-the-art two-stage non-iterative geographic object-based image analysis (GEOBIA) systems and three-stage iterative geographic object-oriented image analysis (GEOOIA) systems ...
Andrea Baraldi, Luigi Boschetti
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A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables [PDF]
Remote Sensing, 2014 A modular system for performing Geographic Object-Based Image Analysis (GEOBIA), using entirely open source (General Public License compatible) software, is presented based around representing objects as raster clumps and storing attributes as a raster ...
Daniel Clewley +8 more
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Operational Automatic Remote Sensing Image Understanding Systems: Beyond Geographic Object-Based and Object-Oriented Image Analysis (GEOBIA/GEOOIA). Part 2: Novel system Architecture, Information/Knowledge Representation, Algorithm Design and Implementation [PDF]
Remote Sensing, 2012 According to literature and despite their commercial success, state-of-the-art two-stage non-iterative geographic object-based image analysis (GEOBIA) systems and three-stage iterative geographic object-oriented image analysis (GEOOIA) systems, where ...
Luigi Boschetti, Andrea Baraldi
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Developing an integrated approach based on geographic object-based image analysis and convolutional neural network for volcanic and glacial landforms mapping [PDF]
Scientific Reports, 2022 Rapid detection and mapping of landforms are crucially important to improve our understanding of past and presently active processes across the earth, especially, in complex and dynamic volcanoes.
Mohammad Kazemi Garajeh +4 more
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Remote Sensing, 2022 Invasive alien species reduce biodiversity. In southern Brazil, the genus Pinus is considered invasive, and its dispersal by humans has resulted in this species reaching ecosystems that are more sensitive and less suitable for cultivation, as is the case for the restingas on Santa Catarina Island.
Vinicius Paiva Gonçalves +2 more
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Special issue: Remote sensing of our changing landscapes with Geographic Object-based Image Analysis (GEOBIA) [PDF]
GIScience & Remote Sensing, 2018 The physical surface of our planet is in constant changes resulting from natural phenomena and anthropogenic activities.
Gang Chen, Qihao Weng
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Leveraging Machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping [PDF]
Remote Sensing, 2019 Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA) contributes to the identification of meaningful objects. In fusing data from multiple sensors, the number of feature variables is increased and object identification becomes a challenging task. We propose a methodological contribution that extends feature variable characterisation.
Sachit Rajbhandari +2 more
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Mapping forest-covered landslides using Geographic Object-Based Image Analysis (GEOBIA), Jena region, Germany [PDF]
Natural Hazards and Earth System SciencesLandslide inventories are crucial for the assessment of landslide susceptibility and hazard. An analysis of old landslides can reveal periods of intensified landslide activity, but the features of these landslides may have diminished over time ...
I. Zangana +4 more
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