Bundle Adjustment of Spherical Images Acquired with a Portable Panoramic Image Mapping System (PPIMS)

Tseng, Yi Hsing; Chen, Yung Chuan; Lin, Kuan Ying

doi:10.14358/pers.82.12.935

Cited by 5 publications

(9 citation statements)

References 8 publications

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“…The aim of the experimental assessments was to analyze the feasibility of the developed PMTS for forest mapping. This section presents a discussion of PMTS performance compared to other backpacked approaches for forest applications that use optical systems [ 9 , 10 ] or LASER scanners [ 7 , 8 , 11 ].…”

Section: Discussionmentioning

confidence: 99%

“…DBH was obtained with a Root Mean Square Error (RMSE) of 3.9 cm. Another portable system with multi digital cameras was presented by Tseng et al [ 10 ], also in 2016, in which eight single-lens cameras (Sony NEX-5N) and a GPS receiver were used. More accurate results for forest mapping were presented recently (2017) by Oveland et al [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…The works mentioned above show the relevance and increasing number of studies involving PMTS in backpack platforms in recent years. Some research trends can be highlighted: (1) the use of off-the-shelf navigation sensors [ 2 , 3 , 11 ], which can be combined in PMTS with (2) optical sensors [ 4 , 5 , 9 , 10 ] and (3) the employment of mobile LASER scanner solutions in the PMTS [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 11 ], particularly motivated by recent MLSs, such as the Velodyne Puck LITE and Riegl miniVUX-1UAV. Considering these trends, this paper aims to contribute to the following issues.…”

Section: Introductionmentioning

confidence: 99%

“…Omnidirectional sensor solutions can outperform other sensors, such as LASER scanners, in terms of field of view, the amount of usable information from the environment for mapping, simple operating principles and intuitive data interpretation [ 13 ]. However, research focused on PMTS using optical systems, especially those based on omnidirectional cameras, are still underexplored [ 9 , 10 ]. In this regard, this paper presents the description and assessment of a PMTS with a backpacked omnidirectional system and off-the-shelf navigation sensors for forest mapping.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Backpack-Mounted Omnidirectional Camera with Off-the-Shelf Navigation Sensors for Mobile Terrestrial Mapping: Development and Forest Application

Campos

Tommaselli

Honkavaara

et al. 2018

Sensors

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The use of Personal Mobile Terrestrial System (PMTS) has increased considerably for mobile mapping applications because these systems offer dynamic data acquisition with ground perspective in places where the use of wheeled platforms is unfeasible, such as forests and indoor buildings. PMTS has become more popular with emerging technologies, such as miniaturized navigation sensors and off-the-shelf omnidirectional cameras, which enable low-cost mobile mapping approaches. However, most of these sensors have not been developed for high-accuracy metric purposes and therefore require rigorous methods of data acquisition and data processing to obtain satisfactory results for some mapping applications. To contribute to the development of light, low-cost PMTS and potential applications of these off-the-shelf sensors for forest mapping, this paper presents a low-cost PMTS approach comprising an omnidirectional camera with off-the-shelf navigation systems and its evaluation in a forest environment. Experimental assessments showed that the integrated sensor orientation approach using navigation data as the initial information can increase the trajectory accuracy, especially in covered areas. The point cloud generated with the PMTS data had accuracy consistent with the Ground Sample Distance (GSD) range of omnidirectional images (3.5–7 cm). These results are consistent with those obtained for other PMTS approaches.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Backpack-Mounted Omnidirectional Camera with Off-the-Shelf Navigation Sensors for Mobile Terrestrial Mapping: Development and Forest Application

Campos

Tommaselli

Honkavaara

et al. 2018

Sensors

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“…To reduce the costs of mobile systems, a backpack approach with multiple digital cameras was presented by [28], but issues similar to those for mobile laser scanning systems remain. Similarly, an omnidirectional system composed of eight single lens reflex (SLR) cameras was presented by [29]. However, due to the low image resolution, the measurement range of the system is limited to a radius of only 5 m. With the goal of reducing the acquisition time, [30] used panoramic photography for deriving stem distribution.…”

Section: Introductionmentioning

confidence: 99%

Terrestrial Structure from Motion Photogrammetry for Deriving Forest Inventory Data

et al. 2019

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The measurements of tree attributes required for forest monitoring and management planning, e.g., National Forest Inventories, are derived by rather time-consuming field measurements on sample plots, using calipers and measurement tapes. Therefore, forest managers and researchers are looking for alternative methods. Currently, terrestrial laser scanning (TLS) is the remote sensing method that provides the most accurate point clouds at the plot-level to derive these attributes from. However, the demand for even more efficient and effective solutions triggers further developments to lower the acquisition time, costs, and the expertise needed to acquire and process 3D point clouds, while maintaining the quality of extracted tree parameters. In this context, photogrammetry is considered a potential solution. Despite a variety of studies, much uncertainty still exists about the quality of photogrammetry-based methods for deriving plot-level forest attributes in natural forests. Therefore, the overall goal of this study is to evaluate the competitiveness of terrestrial photogrammetry based on structure from motion (SfM) and dense image matching for deriving tree positions, diameters at breast height (DBHs), and stem curves of forest plots by means of a consumer grade camera. We define an image capture method and we assess the accuracy of the photogrammetric results on four forest plots located in Austria and Slovakia, two in each country, selected to cover a wide range of conditions such as terrain slope, undergrowth vegetation, and tree density, age, and species. For each forest plot, the reference data of the forest parameters were obtained by conducting field surveys and TLS measurements almost simultaneously with the photogrammetric acquisitions. The TLS data were also used to estimate the accuracy of the photogrammetric ground height, which is a necessary product to derive DBHs and tree heights. For each plot, we automatically derived tree counts, tree positions, DBHs, and part of the stem curve from both TLS and SfM using a software developed at TU Wien (Forest Analysis and Inventory Tool, FAIT), and the results were compared. The images were oriented with errors of a few millimetres only, according to checkpoint residuals. The automatic tree detection rate for the SfM reconstruction ranges between 65% and 98%, where the missing trees have average DBHs of less than 12 cm. For each plot, the mean error of SfM and TLS DBH estimates is −1.13 cm and −0.77 cm with respect to the caliper measurements. The resulting stem curves show that the mean differences between SfM and TLS stem diameters is at maximum −2.45 cm up to 3 m above ground, which increases to almost +4 cm for higher elevations. This study shows that with the adopted image capture method, terrestrial SfM photogrammetry, is an accurate solution to support forest inventory for estimating the number of trees and their location, the DBHs and stem curve up to 3 m above ground.

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A UAV-based panoramic oblique photogrammetry (POP) approach using spherical projection

Zhang

Zhao

et al. 2020

ISPRS Journal of Photogrammetry and Remote Sensing

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Bundle Adjustment of Spherical Images Acquired with a Portable Panoramic Image Mapping System (PPIMS)

Cited by 5 publications

References 8 publications

A Backpack-Mounted Omnidirectional Camera with Off-the-Shelf Navigation Sensors for Mobile Terrestrial Mapping: Development and Forest Application

A Backpack-Mounted Omnidirectional Camera with Off-the-Shelf Navigation Sensors for Mobile Terrestrial Mapping: Development and Forest Application

Terrestrial Structure from Motion Photogrammetry for Deriving Forest Inventory Data

A UAV-based panoramic oblique photogrammetry (POP) approach using spherical projection

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