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The official journal of the American Society for Photogrammetry and Remote Sensing - the Imaging and Geospatial Information Society (ASPRS). This highly respected publication covers all facets of photogrammetry and remote sensing methods and technologies.

Founded in 1934, the American Society for Photogrammetry and Remote Sensing (ASPRS) is a scientific association serving over 7,000 professional members around the world. Our mission is to advance knowledge and improve understanding of mapping sciences to promote the responsible applications of photogrammetry, remote sensing, geographic information systems (GIS), and supporting technologies.

Publisher: American Society for Photogrammetry and Remote Sensing

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Volume 85, Number 5, May 2019
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Departments

Open Access Industry News
pp. 325-326(2)

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Open Access Calendar
pp. 326-326(1)

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Features

Open Access Harnessing Drones: The Photogrammetric Way
pp. 329-337(9)
Author: Abdullah, Qassim A.

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Open Access SectorInsights: The Future Professionals in Geomatics
pp. 338-339(2)
Authors: Ortiz-Sanz, Juan; Gil-Docampo, Mariluz; Rego-Sanmartín, Teresa; Arza-García, Marcos

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Columns

Departments

Open Access Ad Index
pp. 342-343(2)

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Announcements

Open Access Headquarters News
pp. 343-343(1)

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Free Content Certification
pp. 344-344(1)

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Peer-Reviewed Articles

Special Issue on the ISPRS TCII Symposium 2018
pp. 345-346(2)
Authors: Remondino, Fabio; Toschi, Isabella

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Robust Structure From Motion Based on Relative Rotations and Tie Points
pp. 347-359(13)
Authors: Wang, X.; Rottensteiner, F.; Heipke, C.

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Flexible Photogrammetric Computations Using Modular Bundle Adjustment: The Chain Rule and the Collinearity Equations
pp. 361-368(8)
Authors: Börlin, Niclas; Murtiyoso, Arnadi; Grussenmeyer, Pierre; Menna, Fabio; Nocerino, Erica

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Aiding Indoor Photogrammetry with UWB Sensors
pp. 369-378(10)
Authors: Masiero, Andrea; Fissore, Francesca; Guarnieri, Alberto; Pirotti, Francesco; Vettore, Antonio

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DSM Generation from High Resolution Multi-View Stereo Satellite Imagery
pp. 379-387(9)
Authors: Gong, K.; Fritsch, D.

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Self-Supervised Convolutional Neural Networks for Plant Reconstruction Using Stereo Imagery
pp. 389-399(11)
Authors: Xia, Yuanxin; D'Angelo, Pablo; Tian, Jiaojiao; Fraundorfer, Friedrich; Reinartz, Peter

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