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                <text>Book Chapter</text>
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              <text>Heightening Satellite Image Display via Mobile Augmented Reality  A Cutting-Edge Planning Model</text>
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              <text>3D data; AI; Image analysis; Image display; MAR; Object detection; Object recognition; Optical satellite data; Rendering; Satellite AR; Satellite view; Tracking</text>
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              <text>This paper summarizes on object detection, classification, analysis, and display for optical satellite image. Initially, all the existing object detection and object viewing system based on AI techniques are introduced. Various optical imaginary methods and the possibility of immersing optical and 3D data with other data sources are also explained. The surveyed literatures show that in most of the case, the detected objects are taken as resource for planning. We also observed that the image viewing and displaying model was ignored by many authors which is one of the key concepts for next phase. Satellite AR plays a vital role in displaying the images. Overall, it can be seen that optical image view along with AR display can be used for better planning, which is one of the popular research topics and has an excessive operational potential which is the need of the hour dealing with analyzing, predicting, and viewing large amount of data.  2020, Springer Nature Switzerland AG.</text>
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              <text>Aurelia S.</text>
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              <text>Remote Sensing and Digital Image Processing, Vol-24, pp. 1-24.</text>
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              <text>Springer</text>
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              <text>2020-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-030-24178-0_1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-030-24178-0_1&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075496530&amp;amp;doi=10.1007%2F978-3-030-24178-0_1&amp;amp;partnerID=40&amp;amp;md5=383e2afeedeb670145090f5431bcde26" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075496530&amp;amp;doi=10.1007%2f978-3-030-24178-0_1&amp;amp;partnerID=40&amp;amp;md5=383e2afeedeb670145090f5431bcde26&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 15673200</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Aurelia S., Christ University, Bengaluru, Karnataka, India</text>
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