Expanding Horizons: Testing and Evaluating Non-conventional Mobile Devices for Remote Sensing in Built and Natural Environment
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 15 August 2024 | Viewed by 153
Special Issue Editors
Interests: solid-state LiDAR; mobile mapping systems; webGIS; GIS; cultural heritage
Interests: UAS photogrammetry; direct georeferencing; cultural heritage; built heritage; COTS systems; rapid mapping approaches
Special Issues, Collections and Topics in MDPI journals
Interests: laser scanning; LiDAR; point clouds; physical accessibility; machine learning; computational geometry; extended reality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the past five years, the integration of miniaturized sensors in smartphones, tablets, action cameras, watches, and wearables has surged, offering unprecedented opportunities for data collection and analysis across various domains. Particularly noteworthy is the inclusion of increasingly high-resolution cameras in smartphones and advanced sensors such as LiDAR in smartphones and tablets, catalyzing a paradigm shift in how we perceive and utilize mobile devices. This Special Issue aims to explore the testing and evaluation of these non-conventional instruments, focusing on their technical capabilities, operational specifications, and the increasing applications they enable. Despite the exponential growth of available applications for 3D metric data recording, including point clouds and meshes, there remains a significant gap in understanding the full potential and limitations of these sensors due to poor documentation and few tests. While the built and natural environment serve as primary fields, this Special Issue also welcomes contributions from diverse domains such as geosciences, civil engineering, and reverse engineering applications. By delving into the intricacies of sensor architecture and functionality, this Special Issue seeks to elucidate the transformative impact of mobile sensor technology on various fields and pave the way for future innovations and applications.
We welcome articles and reviews discussing topics including, but not limited to, the following:
- New sensor evaluation;
- Data acquisition and processing;
- Sensor application evaluation in small, medium, and large-scale environments;
- Color, light, and material influence evaluation;
- 3D geometric reconstruction and positioning evaluation;
- Dynamic data evaluation;
- 3D surface reconstruction;
- Image and lidar surveys;
- Evaluation of available apps for mobile devices.
Dr. Alesandra Spreafico
Dr. Lorenzo Teppati Losè
Dr. Jesús Balado Frías
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- mobile devices
- LiDAR
- metric survey
- low-cost sensors
- mobile apps
