Accuracy evaluation of a smartphone-based technology for coastal monitoring

Lee, Seongkyu; Ahn, Ho-yong; Seo, Dong Il; Seo, Doochun; Lee, Jongchool; Choi, Chuluong

doi:10.1016/j.measurement.2012.06.010

Cited by 22 publications

(12 citation statements)

References 37 publications

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“…Root-mean-square pixel displacements were less than 0.2 pixels for both cameras. Displacements were less than one pixel over the majority of the image plane (similar to Kim et al, 2013), increasing to six pixels at the edges and all directed toward the centre. In metric lenses (e.g., as used in Argus stations), outward distortion occurs around the centre and inward distortion at the edges of order several pixels in magnitude (e.g., Holland et al, 1997;Holman, Stanley, and Ozkan-Haller, 2003;Kim et al, 2013).…”

Section: Image Geometrymentioning

confidence: 84%

“…A multiple-camera system can cover several km of beach, with on-ground resolution of the order of 1 m. Based on principles similar to the Argus network, several alternative fixed-camera systems have been developed for coastal research and monitoring, with varying levels of control and data analysis capability (e.g., Coco, Bryan, and Payne, 2004;Harley et al, 2013;Nieto et al, 2010;Pearre and Puleo, 2009;Smith and Bryan, 2007;Taborda and Silva, 2012). Developments in the application of alternative image-based systems to monitor the coastline are continuing, with recent examples including the potential for shoreline measurement using a high-angle webcam (Splinter, Strauss, and Tomlinson, 2011) and smartphone (Kim et al, 2013). Irrespective of the specific camera technology adopted, established photogrammetric techniques can be applied to calculate lens properties and image geometry (e.g., Bailey and Shand, 1993;Holland et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Opportunistic Shoreline Monitoring Capability Utilizing Existing “Surfcam” Infrastructure

Bracs¹,

Turner²,

Splinter³

et al. 2016

Journal of Coastal Research

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Bracs, M.A.; Turner, I.L.; Splinter, K.D.; Short, A.D.; Lane, C.; Davidson, M.A.; Goodwin, I.D.; Pritchard, T., and Cameron, D., 0000. Evaluation of opportunistic shoreline monitoring capability utilizing existing ''surfcam'' infrastructure. Journal of Coastal Research, 00(0), 000-000. Coconut Creek (Florida), ISSN 0749-0208.This paper investigates the opportunistic repurposing of existing low-elevation recreational surf cameras (''surfcams'') to provide quantitative shoreline position data. Shoreline data are of fundamental importance in coastal management; however, intensive effort is required to routinely sample this dynamic environmental parameter. Established (and generally research-oriented) coastal imaging systems provide shoreline data in higher temporal resolution across broader spatial scales than is achievable by traditional survey techniques. The key benefits of adopting surfcams for shoreline monitoring are the wide availability of existing stations and their relatively low cost. In addition to the known challenges of optical remote sensing, there are further constraints associated with the typically low elevations of surfcams (9 to 22 m in this study) and the common use of dynamic pan-tilt-zoom positioning. This study used surfcams at nine diverse sites along the SE Australian coastline. Surfcam-derived shorelines were evaluated against monthly real time kinematic global navigation satellite system (RTK-GNSS) surveys. Standard deviations (SDs) of error of 4 to 14 m (horizontal) were observed in data provided by the commercial surfcam operator. After consideration of image geometry, camera stability, shoreline visibility, and shoreline elevation, SDs of error within 1 to 4 m were achieved. At one site, daily surfcam-derived shorelines were evaluated against video-derived shorelines obtained by a state-of-the-art Argus coastal imaging system. Data provided by the surfcam operator had a SD of error of 6 m (horizontal) when compared to the Argus-derived shoreline dataset, and improved methodology reduced this to below 2 m. Generic methods for identifying and addressing issues resulting from surfcam movement and low viewing angle of the beach are presented, as well as data processing options and recommendations for the potential wider adoption of this largely untapped coastal monitoring resource.ADDITIONAL INDEX WORDS: Coastal imaging, beach monitoring, coastal management.

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Section: Image Geometrymentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Evaluation of Opportunistic Shoreline Monitoring Capability Utilizing Existing “Surfcam” Infrastructure

Bracs¹,

Turner²,

Splinter³

et al. 2016

Journal of Coastal Research

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“…Consequently, lens distortion has recently been considered in terms of symmetric radial and decentering distortion (Fraser, 1997;Kim et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Feasibility of Using an Automatic Lens Distortion Correction (ALDC) Camera in a Photogrammetric UAV System

Jeong¹,

Ahn²,

Park³

et al. 2015

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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This study examined the feasibility of using an automatic lens distortion correction (ALDC) camera as the payload for a photogrammetric unmanned aerial vehicle (UAV) system. First, lens distortion for the interior orientation (IO) parameters was estimated. Although previous studies have largely ignored decentering distortion, this study revealed that more than 50% of the distortion of the ALDC camera was caused by decentering distortion. Second, we compared the accuracy of bundle adjustment for camera calibration using three image types: raw imagery without the ALDC option; imagery corrected using lens profiles; and imagery with the ALDC option. The results of image triangulation, the digital terrain model (DTM), and the orthoimage using the IO parameters for the ALDC camera were similar to or slightly better than the results using selfcalibration. These results confirm that the ALDC camera can be used in a photogrammetric UAV system using only self-calibration. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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“…For example, reference [4] developed a seismometer app using the gyroscope sensor in a smartphone. Reference [5] evaluated the possibility of adopting a smartphone-based monitoring system for coastal monitoring through prevision evaluation using smartphone-based technology. In [6] an app making it possible to position network RTK using a smartphone was implemented.…”

Section: Introductionmentioning

confidence: 99%

Development of a Network RTK Positioning and Gravity-Surveying Application with Gravity Correction Using a Smartphone

Lee

Sung-Yeoul

Choi

et al. 2013

Sensors

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This paper proposes a smartphone-based network real-time kinematic (RTK) positioning and gravity-surveying application (app) that allows semi-real-time measurements using the built-in Bluetooth features of the smartphone and a third-generation or long-term evolution wireless device. The app was implemented on a single smartphone by integrating a global navigation satellite system (GNSS) controller, a laptop, and a field-note writing tool. The observation devices (i.e., a GNSS receiver and relative gravimeter) functioned independently of this system. The app included a gravity module, which converted the measured relative gravity reading into an absolute gravity value according to tides; meter height; instrument drift correction; and network adjustments. The semi-real-time features of this app allowed data to be shared easily with other researchers. Moreover, the proposed smartphone-based gravity-survey app was easily adaptable to various locations and rough terrain due to its compact size.

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Accuracy evaluation of a smartphone-based technology for coastal monitoring

Cited by 22 publications

References 37 publications

Evaluation of Opportunistic Shoreline Monitoring Capability Utilizing Existing “Surfcam” Infrastructure

Evaluation of Opportunistic Shoreline Monitoring Capability Utilizing Existing “Surfcam” Infrastructure

Feasibility of Using an Automatic Lens Distortion Correction (ALDC) Camera in a Photogrammetric UAV System

Development of a Network RTK Positioning and Gravity-Surveying Application with Gravity Correction Using a Smartphone

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