Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities
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]
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]
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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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]
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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A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables [PDF]
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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Developing an integrated approach based on geographic object-based image analysis and convolutional neural network for volcanic and glacial landforms mapping [PDF]
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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AbstractCurrent climate change in the Arctic is unprecedented in the instrumental record, with profound consequences for the environment and landscape. In Arctic Sweden, aeolian sand dunes have been impacted by climatic changes since their initial formation after the retreat of the last glacial ice sheet.
Stammler, Melanie +4 more
openaire +4 more sources
Object based classification of a riparian environment using ultra-high resolution imagery, hierarchical landcover structures, and image texture [PDF]
Land cover mapping is an important part of resource management, planning, and economic predictions. Improvements in remote sensing, machine learning, image processing, and object based image analysis (OBIA) has made the process of identifying land cover ...
Kain Kutz, Zachary Cook, Marc Linderman
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The interaction between land-use change and fire regimes, directly and indirectly, affects the urban avian assemblages of Darwin, Australia. [PDF]
Using spatial data and historical and recent bird surveys, we investigated the impact of land‐use change and fire on the Darwin bird assemblages. We determined that the interaction between land‐use change and fire regimes directly affected frugivores.
Fischer S +4 more
europepmc +2 more sources
Geographic Object-Based Image Analysis: A Primer and Future Directions
Geographic object-based image analysis (GEOBIA) is a remote sensing image analysis paradigm that defines and examines image-objects: groups of neighboring pixels that represent real-world geographic objects.
Maja Kucharczyk +3 more
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