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                <text>Book Chapter</text>
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              <text>Edge Computing in Aerial Imaging  A Research Perspective</text>
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              <text>Aerial imaging; Edge computing; Internet of drones</text>
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              <text>Internet of Drones (IoD) is a field that has a vast scope for improvement due to its high adaptability and complex problem statements. Aerial vehicles have been employed in various applications such as rescue operations, agriculture, crop productivity analysis, disaster management, etc. As computing and storage power have increased, satellite imaging and drone imaging have become possible, with vast datasets available for study and experiments. The recent work lies in the edge computing sector, where the captured aerial images are processed at the edge. Our paper focuses on the algorithms and technologies that easily facilitate aerial image processing. The applications and their architectures are focused on which can efficiently function using aerial processing. The various research perspectives in aerial imaging are concentrated on paving the way for further research.  2024 Scrivener Publishing LLC. All rights reserved.</text>
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          <name>Creator</name>
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              <text>Vetriveeran D.; Sambandam R.K.; Jenefa J.; Leena Sri R.</text>
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              <text>Advances in Aerial Sensing and Imaging, pp. 355-382.</text>
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          <name>Publisher</name>
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              <text>wiley</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192588729&amp;amp;partnerID=40&amp;amp;md5=1bcb7ac2845096a9e29ab9c937c6197a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192588729&amp;amp;partnerID=40&amp;amp;md5=1bcb7ac2845096a9e29ab9c937c6197a&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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          <name>Relation</name>
          <description>A related resource</description>
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              <text>ISBN: 978-139417551-2; 978-139417469-0</text>
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              <text>Online</text>
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              <text>Vetriveeran D., Department of CSE, Christ University, Karnataka, Bangalore, India; Sambandam R.K., Department of CSE, Christ University, Karnataka, Bangalore, India; Jenefa J., Department of CSE, Christ University, Karnataka, Bangalore, India; Leena Sri R., Department of CSE, Thiagarajar College of Engineering, Tamil Nadu, Madurai, India</text>
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