Photogrammetric Record

Aims & Scope

The Photogrammetric Record is an international journal containing original, independently and rapidly refereed articles that reflect modern advancements in photogrammetry, 3D imaging, computer vision, and other related non-contact fields.

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 photogrammetric knowledge and to the application of techniques in novel ways.

It also seeks to stimulate debate though correspondence, and carries reviews of recent literature from the wider geomatics discipline.

Relevant topics include, but are not restricted to: - Photogrammetric sensor calibration and characterisation - Laser scanning (lidar) - Image and 3D sensor technology (e.g. range cameras, natural user interface systems) - Photogrammetric aspects of image processing (e.g. radiometric methods, feature extraction, image matching and scene classification) - Mobile mapping and unmanned vehicular systems (UVS; UAVs) - Registration and orientation - Data fusion and integration of 3D and 2D datasets - Point cloud processing - 3D modelling and reconstruction - Algorithms and novel software - Visualisation and virtual reality - Terrain/object modelling and photogrammetric product generation - Geometric sensor models - Databases and structures for imaging and 3D modelling - Standards and best practice for data acquisition and storage - Change detection and monitoring, and sequence analysis

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.6
2024	2.10

SJR (SCImago Journal Rank)

Year	Value
2024	0.664

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	59

Journal Rank

Year	Value
2024	8623

Journal Citation Indicator

Year	Value
2024	230

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Earth and Planetary Sciences and Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Image‐based 3D Modelling: A Review

  Citation: 659

  Authors: Fabio, Sabry

• State of the art in high density image matching

  Citation: 394

  Authors: Fabio, Maria Grazia, Erica, Fabio, Francesco

• The Development of Camera Calibration Methods and Models

  Citation: 236

  Authors: T. A., J. G.

• DIGITAL IMAGE CORRELATION: PERFORMANCE AND POTENTIAL APPLICATION IN PHOTOGRAMMETRY

  Citation: 203

  Authors: F.

• Development and Status of Image Matching in Photogrammetry

  Citation: 184

  Authors: Armin

• Application of Digital Photogrammetry to Complex Topography for Geomorphological Research

  Citation: 155

  Authors: S. N., T. D., M. D.

• BUNDLE ADJUSTMENT METHODS IN ENGINEERING PHOTOGRAMMETRY

  Citation: 153

  Authors: S. I.

• Combined Digital Photogrammetry and Time‐of‐Flight Laser Scanning for Monitoring Cliff Evolution

  Citation: 145

  Authors: Michael, David N., Nicholas J., Robert J., Antony J., David

• Review of developments in geometric modelling for high resolution satellite pushbroom sensors

  Citation: 140

  Authors: Daniela, Thierry

• Investigation of uav systems and flight modes for photogrammetric applications

  Citation: 137

  Authors: Henri, Martin

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