Underwater imaging and optics: Recent advances

Caimi, Frank M.; Kocak, Donna M.; Dalgleish, Fraser; Watson, John

doi:10.1109/oceans.2008.5289438

Cited by 27 publications

(6 citation statements)

References 37 publications

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“…In 2008, Caimi et al [33] wrote a complementary study in which they provide a summary of recently reported research in the area of underwater optics and vision and briefly covered advances in image formation and image processing methods; extended range imaging techniques; imaging using spatial coherency (e.g., holography); and multipledimensional image acquisition and image processing.…”

Section: Underwater Optical Survey Solutions a Panel Of Technologiesmentioning

confidence: 99%

Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods

et al. 2021

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In both the industrial and scientific fields, the need for very high-resolution cartographic data is constantly increasing. With the aging of offshore subsea assets, it is very important to plan and maintain the longevity of structures, equipment, and systems. Inspection, maintenance, and repair (IMR) of subsea structures are key components of an overall integrity management system that aims to reduce the risk of failure and extend the life of installations. The acquisition of very detailed data during the inspection phase is a technological challenge, especially since offshore installations are sometimes deployed in extreme conditions (e.g., depth, hydrodynamics, visibility). After a review of high resolution mapping techniques for underwater environment, this article will focus on optical sensors that can satisfy the requirements of the offshore industry by assessing their relevance and degree of maturity. These requirements concern the resolution and accuracy but also cost, ease of implementation, and qualification. With the evolution of embedded computing resources, in-vehicle optical survey solutions are becoming increasingly important in the landscape of large-scale mapping solutions and more and more off-the-shelf systems are now available. The issues raised in this review are mainly related to the qualification of the results produced by optical systems and their limitations to cover all the needs expressed by the oil and gas industry field. Interesting qualification works of these solutions are presented in this paper as well as the use of online processing tools such as visual odometry or VSLAM to guide the data acquisition and pre-qualified survey. Finally, it seems interesting to combine acoustic and optical technologies in order to extend the field of application of these methods to low visibility conditions, which remains one of the main limiting factors in the generalization of the use of optical sensors in high resolution underwater cartography applications.

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Section: Underwater Optical Survey Solutions a Panel Of Technologiesmentioning

confidence: 99%

Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods

et al. 2021

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“…As such, performing manual accurate annotations of laser spots tends to be extremely challenging and labor intensive, and even impossible in certain cases. Considerable attention has been given to the development of the image processing components of laser scanners, namely on laser line detection [66,67], while the automatic detection of laser dots from underwater laser scalers has only been addressed in a few studies. Rzhanov et al [68] developed a toolbox (The Underwater Video Spot Detector (UVSD)), with a semiautomatic algorithm based on a Support Vector Machine (SVM) classifier.…”

Section: Laser Spot Detectionmentioning

confidence: 99%

Scale Accuracy Evaluation of Image-Based 3D Reconstruction Strategies Using Laser Photogrammetry

et al. 2019

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Rapid developments in the field of underwater photogrammetry have given scientists the ability to produce accurate 3D models which are now increasingly used in the representation and study of local areas of interest. This paper addresses the lack of systematic analysis of 3D reconstruction and navigation fusion strategies, as well as associated error evaluation of models produced at larger scales in GPS-denied environments using a monocular camera (often in deep sea scenarios). Based on our prior work on automatic scale estimation of SfM-based 3D models using laser scalers, an automatic scale accuracy framework is presented. The confidence level for each of the scale error estimates is independently assessed through the propagation of the uncertainties associated with image features and laser spot detections using a Monte Carlo simulation. The number of iterations used in the simulation was validated through the analysis of the final estimate behavior. To facilitate the detection and uncertainty estimation of even greatly attenuated laser beams, an automatic laser spot detection method was developed, with the main novelty of estimating the uncertainties based on the recovered characteristic shapes of laser spots with radially decreasing intensities. The effects of four different reconstruction strategies resulting from the combinations of Incremental/Global SfM, and the a priori and a posteriori use of navigation data were analyzed using two distinct survey scenarios captured during the SUBSAINTES 2017 cruise (doi: 10.17600/17001000). The study demonstrates that surveys with multiple overlaps of nonsequential images result in a nearly identical solution regardless of the strategy (SfM or navigation fusion), while surveys with weakly connected sequentially acquired images are prone to produce broad-scale deformation (doming effect) when navigation is not included in the optimization. Thus the scenarios with complex survey patterns substantially benefit from using multiobjective BA navigation fusion. The errors in models, produced by the most appropriate strategy, were estimated at around 1 % in the central parts and always inferior to 5 % on the extremities. The effects of combining data from multiple surveys were also evaluated. The introduction of additional vectors in the optimization of multisurvey problems successfully accounted for offset changes present in the underwater USBL-based navigation data, and thus minimize the effect of contradicting navigation priors. Our results also illustrate the importance of collecting a multitude of evaluation data at different locations and moments during the survey.

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“…The speckle noise is a multiplicative noise that occurs not only in underwater sonar imaging but also in other acoustic devices, such as medical ultrasound instruments (Sarode and Deshmukh, 2011). Forward-looking imaging sonars provide noisy gray scale images owing to their acoustic nature, and the signal-to-noise ratio of the images is generally lower than that of optical images (Caimi et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Distributed containment control for bounded unknown second-order nonlinear multi-agent systems with dynamic leaders

2015

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Underwater imaging and optics: Recent advances

Cited by 27 publications

References 37 publications

Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods

Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods

Scale Accuracy Evaluation of Image-Based 3D Reconstruction Strategies Using Laser Photogrammetry

Distributed containment control for bounded unknown second-order nonlinear multi-agent systems with dynamic leaders

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