UAV-OBB: An aerial urban vehicle dataset with oriented bounding boxes for remote sensing object detection in smart cities. [PDF]
Data BriefAhmad I, Fengjun S, Bibi K, Pathan MS.
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HBID24K: A New Benchmark Dataset for Vulnerable Houbara Bustard and Intruder Detection in Wildlife Monitoring. [PDF]
Sci DataAli SS +8 more
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Automated Detection of Parasitic Elements in Veterinary Fecal Samples Using a Deep Learning-Based Object Detection Framework. [PDF]
Vet SciYang J +4 more
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Winter Wheat Mapping Using Landsat 8 Images and Geographic Object-Based Image Analysis
Transactions of the ASABE, 2017 Abstract. Winter wheat is a major food source in many areas, so it is necessary to construct an effective approach for its monitoring based on satellite data. By taking advantage of geographic object-based image analysis (GEOBIA), a winter wheat classification framework was established.
Tengfei Su, Shengwei Zhang
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SPECIAL FEATURE – Geographic Object-Based Image Analysis
Journal of Spatial Science, 2010 The objective of geographic object-based image analysis (GEOBIA) is to develop and apply theory, methods and tools for replicating and improving human interpretation of remotely sensed image data i...
Johansen, K., Bartolo, R., Phinn, S.
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Extraction of building information using geographic object-based image analysis
2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 2016Geographic object-based image analysis (GEOBIA) is a useful method for image classification. This study aimed to find optimal parameters combination for extracting buildings using object-based image analysis. The images taken from two satellites Quickbird-2 and Gaofen (GF-1) were used to extract information of buildings in an urban area.
Zhenhua Liu
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An intelligent vector agent processing unit for geographic object-based image analysis
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015The consideration of meaningful geographical objects instead of individual pixels is the main distinguishing characteristic of Geographic Object-Based Image Analysis (GEOBIA) methods. In this regard, meaningful geographical objects enable image analysis methods to consider extra information, such as geometry, texture and spatial relationships to ...
Antoni Moore
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Environmental Object Recognition in a Natural Image
International Journal of Agricultural and Environmental Information Systems, 2014 Natural images, which are filled with intriguing stimuli of spatial objects, represent our cognition and are rich in spatial information. Accurate extraction of spatial objects is challenging due to the associated spatial and spectral complexities in object recognition.
Jagannath Aryal, Didier Josselin
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<p>Over the last several decades, cities in America’s Rust Belt region have experienced population and economic declines – most notably, the City of Detroit. With increased property vacancies, many residential structures are abandoned and left vulnerable to degradation.
Vera De Wit (18164939)
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Methodological framework for ontology-driven geographic object-based image analysis (O-GEOBIA)
, 2019 Geographic Object-Based Image Analysis (GEOBIA) has emerged as a new sub-discipline of Geographic Information Science. GEOBIA provides methods to delineate real-world geographic objects from Earth Observation (EO) data. GEOBIA methods rely on human expert (domain) knowledge to perform image segmentation, classification, and classification-based ...
Rajbhandari, S (15934517)
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