remotesensing-logo

Journal Browser

Journal Browser

3D-City Models and Remote Sensing: Acquisition, Processing and Application

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 12202

Special Issue Editor

Research Associate, Faculty of Built Environment, UNSW, Sydney, Australia
Interests: remote sensing; photogrammetry; 3D reconstruction; change detection; development and application of spatial algorithms
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Remote sensing is a prominent data source during the acquisition of 3D city models. It is safe to say that the majority of the currently available 3D city models would not exist without the contribution of remote sensing products such as aerial photographs or LIDAR point clouds. At the same time, however, remote sensing offers a wide range of other data sources, which is going largely unnoticed in the 3D city modelling context.

The goal of this Special Issue of Remote sensing on 3D city models is to investigate further relationships between the subjects. We invite papers addressing the integration of remote sensing into 3D city models during the entire chain of acquisition, processing and application.

During the acquisition phase, data fusion issues might be addressed, where highly detailed 3D urban geometry would be integrated with data from, for example, hyper-spectral, thermal or microwave 'remote sensors'.

In the processing phase, techniques known from remote sensing might be applied for modelling or simulating 3D city scenarios. Examples of such techniques could include interferometric SAR, or 3D extensions of parameter retrieval, NDVI modelling and image classification.

Applications of integrating remote sensing with 3D city modelling would include all those analyses where detailed 3D geometry from city models with features extracted from remote sensing data leads to new insights. They might range from urban water management, combining 3D topography with soil permeability, via deformation analysis where persistent scatterers are localized in 3D models and tracked through time, to urban heat island modelling, simulating shortwave and longwave radiation being absorbed, emitted and reflected at surfaces of terrain, building and vegetation objects in a 3D model.

The above examples are not meant to be restrictive in any way. We are looking forward to publishing striking examples of symbiosis of remote sensing and 3D city modelling in an attempt to bring the respective communities closer together and demonstrate the added value of integrating their efforts.

Dr. Ben Gorte
Guest Editor

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

  • 3D City Models
  • Multi-sensor
  • Data Fusion
  • Simulation
  • Geometric modelling

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

37 pages, 23055 KiB  
Article
As-Built 3D Heritage City Modelling to Support Numerical Structural Analysis: Application to the Assessment of an Archaeological Remain
by Daniel Antón, Paloma Pineda, Benachir Medjdoub and Alfredo Iranzo
Remote Sens. 2019, 11(11), 1276; https://doi.org/10.3390/rs11111276 - 29 May 2019
Cited by 26 | Viewed by 5387
Abstract
Terrestrial laser scanning is a widely used technology to digitise archaeological, architectural and cultural heritage. This allows for modelling the assets’ real condition in comparison with traditional data acquisition methods. This paper, based on the case study of the basilica in the Baelo [...] Read more.
Terrestrial laser scanning is a widely used technology to digitise archaeological, architectural and cultural heritage. This allows for modelling the assets’ real condition in comparison with traditional data acquisition methods. This paper, based on the case study of the basilica in the Baelo Claudia archaeological ensemble (Tarifa, Spain), justifies the need of accurate heritage modelling against excessively simplified approaches in order to support structural safety analysis. To do this, after validating the 3D meshing process from point cloud data, the semi-automatic digital reconstitution of the basilica columns is performed. Next, a geometric analysis is conducted to calculate the structural alterations of the columns. In order to determine the structural performance, focusing both on the accuracy and suitability of the geometric models, static and modal analyses are carried out by means of the finite element method (FEM) on three different models for the most unfavourable column in terms of structural damage: (1) as-built (2) simplified and (3) ideal model without deformations. Finally, the outcomes show that the as-built modelling enhances the conservation status analysis of the 3D heritage city (in terms of realistic compliance factor values), although further automation still needs to be implemented in the modelling process. Full article
Show Figures

Graphical abstract

22 pages, 8539 KiB  
Article
3D Calibration Test-Field for Digital Cameras Mounted on Unmanned Aerial Systems (UAS)
by Valeria-Ersilia Oniga, Norbert Pfeifer and Ana-Maria Loghin
Remote Sens. 2018, 10(12), 2017; https://doi.org/10.3390/rs10122017 - 12 Dec 2018
Cited by 22 | Viewed by 6233
Abstract
Due to the large number of technological developments in recent years, UAS systems are now used for monitoring purposes and in projects with high precision demand, such as 3D model-based creation of dams, reservoirs, historical monuments etc. These unmanned systems are usually equipped [...] Read more.
Due to the large number of technological developments in recent years, UAS systems are now used for monitoring purposes and in projects with high precision demand, such as 3D model-based creation of dams, reservoirs, historical monuments etc. These unmanned systems are usually equipped with an automatic pilot device and a digital camera (photo/video, multispectral, Near Infrared etc.), of which the lens has distortions; but this can be determined in a calibration process. Currently, a method of “self-calibration” is used for the calibration of the digital cameras mounted on UASs, but, by using the method of calibration based on a 3D calibration object, the accuracy is improved in comparison with other methods. Thus, this paper has the objective of establishing a 3D calibration field for the digital cameras mounted on UASs in terms of accuracy and robustness, being the largest reported publication to date. In order to test the proposed calibration field, a digital camera mounted on a low-cost UAS was calibrated at three different heights: 23 m, 28 m, and 35 m, using two configurations for image acquisition. Then, a comparison was made between the residuals obtained for a number of 100 Check Points (CPs) using self-calibration and test-field calibration, while the number of Ground Control Points (GCPs) variedand the heights were interchanged. Additionally, the parameters where tested on an oblique flight done 2 years before calibration, in manual mode at a medium altitude of 28 m height. For all tests done in the case of the double grid nadiral flight, the parameters calculated with the proposed 3D field improved the results by more than 50% when using the optimum and a large number of GCPs, and in all analyzed cases with 75% to 95% when using a minimum of 3 GCP. In this context, it is necessary to conduct accurate calibration in order to increase the accuracy of the UAS projects, and also to reduce field measurements. Full article
Show Figures

Figure 1

Back to TopTop