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Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities
GIScience and 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, Qihao Weng, Geoffrey J Hay
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A critical survey of GEOBIA methods for forest image detection and classification
Geocarto International, 2023 Modern earth observation sensors have revolutionized the remote sensing community by improving remote sensing image quality. However, Pixel-based image analysis methods have challenges in handling very high-resolution (VHR) imagery.
Clopas Kwenda, Fonou Dombeu Jean Vincent
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Modelling relational contexts in GEOBIA framework for improving urban land-cover mapping
GIScience and Remote Sensing, 2019 In human cognition, both visual features (i.e., spectrum, geometry and texture) and relational contexts (i.e. spatial relations) are used to interpret very-high-resolution (VHR) images.
Shihong Du
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Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers [PDF]
Remote Sensing, 2017 Geographic Object-Based Image Analysis (GEOBIA) mostly uses proprietary software,but the interest in Free and Open-Source Software (FOSS) for GEOBIA is growing.
Christian Knoth, Daniel Nüst
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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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Geographic Object-Based Analysis of Airborne Multispectral Images for Health Assessment of Capsicum annuum L. Crops [PDF]
Sensors, 2019 Vegetation health assessment by using airborne multispectral images throughout crop production cycles, among other precision agriculture technologies, is an important tool for modern agriculture practices. However, to really take advantage of crop fields
Jesús A. Sosa-Herrera +4 more
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Remote Sensing, 2020 Geographic object-based image analysis (GEOBIA) is a primary remote sensing tool utilized in land-cover mapping and change detection. Land-cover patches are the primary data source for landscape metrics and ecological indicator calculations; however ...
Szymon Chmielewski +2 more
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ISPRS International Journal of Geo-Information, 2019 Using two GEOBIA (Geographical Object Based Image Analysis) algorithms on a set of segmented images compared to grid partitioning at different scales, we show that statistical metrics related to both objects and sets of pixels are (more or less) subject ...
Didier Josselin
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UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands. [PDF]
Sensors (Basel), 2018 This is the final version of the article. Available from MDPI via the DOI in this record.The monitoring of invasive grasses and vegetation in remote areas is challenging, costly, and on the ground sometimes dangerous.
Sandino J +3 more
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Remote Sensing, 2012 Contrast plays an important role in the visual interpretation of imagery. To mimic visual interpretation and using contrast in a Geographic Object Based Image Analysis (GEOBIA) environment, it is useful to consider an analysis for single pixel objects ...
Roeland de Kok
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