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Erschienen in:
2020 | OriginalPaper | Buchkapitel
A Web-Based Visualization Tool for 3D Spatial Coverage Measurement of Aerial Images
verfasst von : Abdullah Alfarrarjeh, Zeyu Ma, Seon Ho Kim, Yeonsoo Park, Cyrus Shahabi
Erschienen in: MultiMedia Modeling
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Abstract
Drones are becoming popular in different domains, from personal to professional usages. Drones are usually equipped with high-resolution cameras in addition to various sensors (e.g., GPS, accelerometers, and gyroscopes). Therefore, aerial images captured by drones are associated with spatial metadata that describe the spatial extent per image, referred to as aerial field-of-view (Aerial FOV). Aerial FOVs can be utilized to represent the visual coverage of a particular region with respect to various viewing directions at fine granular-levels (i.e., small cells composing the region). In this demo paper, we introduce a web tool for interactive visualization of a collection of aerial field-of-views and instant measurement of their spatial coverage over a given 3D space. This tool is useful for several real-world monitoring applications that are based on aerial images to simulate the 3D spatial coverage of the collected visual data in order to analyze their adequacy.