Edited By: Yongjun Zhang and Debra F. Laefer
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About This Journal
The Photogrammetric Record is an international journal containing original, independently and rapidly refereed articles that reflect modern advancements in geomatics. Specifically contributions in photogrammetry, 3D imaging, computer vision, laser scanning, geomatics, and other related non-contact remote sensing related to geomatics are welcome. All aspects of the measurement workflow are relevant, from sensor characterisation and modelling, data acquisition, processing algorithms and product generation, to novel applications. The journal provides a record of new research which will contribute both to the advancement of geomatics knowledge and to the application of techniques in novel ways. It also seeks to stimulate debate through correspondence, and carries reviews of recent literature from the wider geomatics discipline.
Meet the Co-Editors-in-Chief
Yongjun Zhang is a Professor of Photogrammetry and Remote Sensing, and the Dean of the School of Remote Sensing and Information Engineering at Wuhan University, China. Debra Laefer is a Professor of Urban Informatics at New York University (NYU) and earned degrees from Columbia University (BA, BS), NYU (MS), and the University of Illinois at Urbana-Champaign (MS, PHD). Read more about the new Editors-in-Chief here.
Call for Papers
Osman Ervan et al.
The Open Access Advantage
Take a look at the advantages of publishing your article Open Access here. Your institution or funder may also be able to cover the Open Access fee through a Wiley Open Access Account or a Transformational Agreement. Check out the list of all participating institutions, along with information on Wiley’s Transformational Agreements here.
Photogrammetric Terms Explained
EH Thompson Award Winners
Ferdinand Maiwald, Hans-Gerd Maas
Discover the 2022 EH Thompson Award winning article and all past awarded articles here.
Weakly supervised semantic segmentation of mobile laser scanning point clouds via category balanced random annotation and deep consistency‐guided self‐distillation mechanism
-  1 December 2023
This paper explores a novel weakly supervised learning (WSL) framework for semantic segmentation of mobile laser scanning (MLS) point clouds. Specifically, a category balanced random annotation (CBRA) strategy is employed to obtain balanced labels and enhance model performance. Next, a deep consistency-guided self-distillation (DCS) mechanism is developed by transferring knowledge among different deep networks to exploit semantically rich information. By using only 0.1% labelled points, the proposed WSL framework achieved a competitive performance on three different point cloud datasets.
The impact of oblique images and flight‐planning scenarios on the accuracy of UAV 3D mapping
-  9 October 2023
This study assesses the impact of oblique imagery and flight-planning scenarios (top-right image) on reducing height errors in UAV photogrammetric blocks. It explores the efficiency of combining nadir and oblique images, georeferenced by direct and indirect methods. Results shown in the bottom image demonstrate that integrating oblique images at the block centre with nadir images improves block accuracy, achieving 50% and 40% accuracy enhancements for direct and indirect georeferenced blocks, respectively.
3D Computer Vision and Photogrammetry
-  28 September 2023
-  28 September 2023
2nd International Conference on Advanced Remote Sensing and the 2023 Wuhan Remote Sensing Week
-  28 September 2023
The following is a list of the most cited articles based on citations published in the last three years, according to CrossRef.
State of the art in high density image matching
-  15 June 2014
Development and Status of Image Matching in Photogrammetry
-  14 March 2012
GPS precise point positioning for UAV photogrammetry
-  5 November 2018
Global Positioning System (GPS) precise point positioning (PPP) constraints on fixed-wing unmanned aerial vehicle (UAV) image positions is demonstrated for photogrammetric mapping at accuracies of centimetres in planimetry and about a decimetre in height, from flights of 25-30 minutes duration. GPS PPP alleviates all spatial operating constraints associated with the installation and use of ground control points, simplifying operational logistics and enabling large-scale photogrammetric UAV mapping even in the most remote and challenging geographic locations.
Documentation of heritage buildings using close‐range UAV images: dense matching issues, comparison and case studies
-  14 September 2017
The following are the most downloaded articles from the Photogrammetric Record in 2018