Next Article in Journal
Beyond sRGB: Optimizing Object Detection with Diverse Color Spaces for Precise Wildfire Risk Assessment
Previous Article in Journal
Use of Tropospheric Delay in GNSS-Based Climate Monitoring—A Review
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 17
Issue 9
10.3390/rs17091502
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review

by
Ehsan Khoramshahi
1,*,
Somayeh Nezami
1,
Petri Pellikka
2,
Eija Honkavaara
3,
Yuwei Chen
4,5 and
Ayman Habib
6
1
Remote-Sensing and Photogrammetry Department, Visionium Oy, 00940 Helsinki, Finland
2
Department of Geosciences and Geography, University of Helsinki, 00014 Helsinki, Finland
3
Remote Sensing and Photogrammetry Department, Finnish Geospatial Research Institute (FGI), National Land-Survey of Finland (NLS), 02150 Espoo, Finland
4
Advanced Laser Technology Laboratory of Anhui Province, Hefei 230000, China
5
Hangzhou Institute for Advanced Studies, University of Chinese Academy of Sciences, Hangzhou 310027, China
6
Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN 47907-2051, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(9), 1502; https://doi.org/10.3390/rs17091502
Submission received: 14 March 2025 / Revised: 17 April 2025 / Accepted: 22 April 2025 / Published: 24 April 2025
(This article belongs to the Special Issue Advances in Deep Learning Approaches: UAV Data Analysis)
Browse Figures
Versions Notes

Abstract

Innovative geospatial solutions are necessary to tackle complex environmental challenges. Mobile mapping systems (MMSs) are such key innovations emerging in this effort. MMSs, with a wide range of applications, significantly impact our increasingly developed data collection technologies by enhancing our understanding of the environment, enabling us to create more detailed models of natural resources, and optimizing the way we live on Earth. In this paper, we present and analyze recent advancements in MMS technologies, focusing on computational and modeling aspects, as well as the latest state-of-the-art sensor, hardware, and software developments. Special attention is given to the trends observed over the past decade, supported by a review of foundational literature. Finally, we outline our vision for the future of MMS, offering insights into the potential for further research and the exciting possibilities that lie ahead in this rapidly evolving field of science and technology.
Keywords: mobile mapping systems; UAV; multi-camera systems; LiDAR; sensor; deep learning mobile mapping systems; UAV; multi-camera systems; LiDAR; sensor; deep learning

Share and Cite

MDPI and ACS Style

Khoramshahi, E.; Nezami, S.; Pellikka, P.; Honkavaara, E.; Chen, Y.; Habib, A. A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review. Remote Sens. 2025, 17, 1502. https://doi.org/10.3390/rs17091502

AMA Style

Khoramshahi E, Nezami S, Pellikka P, Honkavaara E, Chen Y, Habib A. A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review. Remote Sensing. 2025; 17(9):1502. https://doi.org/10.3390/rs17091502

Chicago/Turabian Style

Khoramshahi, Ehsan, Somayeh Nezami, Petri Pellikka, Eija Honkavaara, Yuwei Chen, and Ayman Habib. 2025. "A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review" Remote Sensing 17, no. 9: 1502. https://doi.org/10.3390/rs17091502

APA Style

Khoramshahi, E., Nezami, S., Pellikka, P., Honkavaara, E., Chen, Y., & Habib, A. (2025). A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review. Remote Sensing, 17(9), 1502. https://doi.org/10.3390/rs17091502

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop