Photogrammetric Record - Wiley-Blackwell | 2024 Impact Factor:3.6 | Cite Score:4.1 | Q1

Impact Factor and Journal Rank of Photogrammetric Record

• About: The Photogrammetric Record is an international journal that publishes original, independently and rapidly refereed articles reflecting modern advancements in photogrammetry, 3D imaging, computer vision, and related non-contact fields. It serves as a platform for researchers and practitioners to share innovative research and developments in these areas.
• Focus Areas: The journal covers a wide range of topics including: Photogrammetric Sensor Calibration and Characterization Laser Scanning Technologies Image and 3D Sensor Technology Photogrammetric Aspects of Image Processing Mobile Mapping and Unmanned Vehicular Systems Registration and Orientation Techniques Data Fusion and Integration of 3D and 2D Datasets
• Publication Impact: The Photogrammetric Record contributes significantly to the advancement of photogrammetry and related fields by publishing high-quality, peer-reviewed articles. The journal focus on rapid dissemination of research ensures that the latest developments in 3D imaging and related technologies are accessible to the global community.
• Peer Review Process: Articles published in the journal undergo a rigorous peer-review process to ensure scientific rigor and relevance. This process helps maintain the journal standards and ensures that only significant contributions to the field are published.
• Significance: By providing a platform for researchers to publish cutting-edge research in photogrammetry and 3D imaging, The Photogrammetric Record fosters innovation and collaboration. The journal emphasis on technological advancements and practical applications enhances the understanding and utilization of non-contact measurement techniques.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Yongjun Zhang

• Scope: The Photogrammetric Record is an international journal that publishes original, independently and rapidly refereed articles focusing on modern advancements in photogrammetry, 3D imaging, computer vision, and related non-contact fields. The journal covers a wide range of topics that reflect current research and developments in these areas. Here is an overview of its key focus areas and scope:
• 1. Photogrammetric Sensor Calibration and Characterization:
  Research on methods and techniques for calibrating photogrammetric sensors.
  Studies on sensor characterization, including accuracy assessment and calibration model development.
  Advances in improving the precision and reliability of photogrammetric measurements.
• 2. Laser Scanning:
  Exploration of laser scanning technologies and their applications in 3D imaging.
  Research on point cloud processing, data acquisition techniques, and laser scanner calibration.
  Advances in capturing detailed 3D geometries and surface properties using laser scanning.
• 3. Image and 3D Sensor Technology:
  Studies on advancements in image sensors and 3D sensor technologies.
  Research on hardware development, sensor fusion techniques, and multispectral imaging.
  Advances in sensor integration for improved data acquisition and analysis.
• 4. Photogrammetric Aspects of Image Processing:
  Research on image processing techniques specific to photogrammetry.
• Studies on feature extraction, image matching, and geometric modeling from images.
• Advances in automated image analysis and computer vision algorithms.
• 5. Mobile Mapping and Unmanned Vehicular Systems:
  Exploration of mobile mapping technologies and applications.
• Research on UAV (unmanned aerial vehicle) and UGV (unmanned ground vehicle) systems in photogrammetry.
• Advances in real-time data acquisition, navigation, and mapping using mobile and unmanned systems.
• 6. Registration and Orientation:
  Studies on methods for registering and orienting 3D datasets.
  Research on pose estimation, bundle adjustment techniques, and georeferencing.
• Advances in automated registration algorithms and accuracy assessment.
• 7. Data Fusion and Integration of 3D and 2D Datasets:
  Exploration of techniques for integrating 3D point clouds with 2D image data.
• Research on data fusion methodologies, interoperability standards, and data management.
• Advances in combining multiple data sources for comprehensive spatial analysis and modeling.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  0031868X

  Electronic ISSN:  14779730

• Abstracting and Indexing:  SCOPUS, Science Citation Index Expanded

• Imapct Factor 2024:  3.6

• Subject Area and Category:   Computer Science, Computer Science Applications, Earth and Planetary Sciences, Computers in Earth Sciences, Earth and Planetary Sciences (miscellaneous), Engineering, Engineering (miscellaneous)

• Publication Frequency:  

• H Index:  59

• Best Quartile:

  Q1:  Computer Science Applications

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  4.1

• SNIP:  1.031

• Journal Rank(SJR):  0.664

• Latest Articles:   Latest Articles in Photogrammetric Record

• Guidelines for Authors: Photogrammetric Record Author Guidelines

• Paper Submissions: Paper Submissions in Photogrammetric Record

• Publisher:  Wiley-Blackwell Publishing Ltd

  Country:  United Kingdom

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