Obtaining High-Resolution Seabed Topography and Surface Details by Co-Registration of Side-Scan Sonar and Multibeam Echo Sounder Images

Shang, Xiaodong; Zhao, Jianhu; Zhang, Hongmei

doi:10.3390/rs11121496

Cited by 42 publications

(17 citation statements)

References 47 publications

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“…As for the side-scan sonar, there are in general two types: (a) towed systems and (b) hull-mounted sonars [37]. Sonar emits a wide vertical (40-50 • ) and narrow horizontal beam (0.2-1 • ) [38] and receives seabed echoes at fixed time intervals to produce a high-resolution bottom imagery [39]. The returning echoes are displayed as one single line, where dark and light portions represent strong and weak echoes relative to the travel time.…”

Section: Mapping the Shipwreck-sitementioning

confidence: 99%

Using Remote Sensing Data to Identify Large Bottom Objects: The Case of World War II Shipwreck of General von Steuben

Grządziel

2020

Geosciences

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The seabed of the Baltic Sea is not yet fully searched for and investigated. In 2004 the crew of the Polish Navy hydrographic ship Arctowski discovered a new shipwreck that was not listed in the official underwater objects database nor was it marked on a chart. The identity of a new wreck is most frequently established based on artefacts found in the object by divers as a part of archaeological research, or through underwater inspection with remotely operated vehicle. The aim of this paper is to show how acoustic remote sensing data is used to identify large bottom object without having to go underwater. Bathymetric survey and sonar investigation were conducted over the study area. An appropriate methodology allowed for obtaining high-resolution imagery of the wreck. A review of literature concerning the end of World War II in the Baltic Sea was carried out. Moreover, the author presents a comparative analysis and evaluation of remote sensing data with archival photos, silhouette, and ship characteristics. The proposed approach led to the identification of a new Baltic Sea wreck as the General von Steuben, which was torpedoed in 1945 by soviet submarine. The author’s findings show that state of preservation of the shipwreck, quality data as well as historical records play a key role in establishing the wreck’s identity.

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Section: Mapping the Shipwreck-sitementioning

confidence: 99%

Using Remote Sensing Data to Identify Large Bottom Objects: The Case of World War II Shipwreck of General von Steuben

Grządziel

2020

Geosciences

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“…Between 1984 and 2018, the maximum lake area is 541.27 km 2 in 1998; the median lake area is 468.90 km 2 in 1991; and the minimum lake area is 309.84 km 2 in 2016 (illustrated in Figure 7). Then, water volumes were calculated via the method by combining water areas and water levels of Lake Mead using Equation (7). To make our estimated lake water volumes and in situ data comparable, their systematic offset was removed.…”

Section: Lake Water Volume Estimation and Validationmentioning

confidence: 99%

“…Unfortunately, in situ data of water levels/volumes of lakes across the globe are very limited, especially for developing countries and some remote areas. Previous studies also reported that the lake water level and volume can be obtained by the bathymetric data derived from various sensors [6], e.g., ship-borne singlebeam or multibeam echo sounders, and airborne bathymetric lidars (Light detection and ranging) [7][8][9]. However, the high cost of those accurate bathymetric data limits the use of this approach at a global scale [10].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Annual Changes of Lake Water Levels and Volumes over 1984–2018 Using Landsat Imagery and ICESat-2 Data

Zhang

et al. 2020

Remote Sensing

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With new Ice, Cloud, and land Elevation Satellite (ICESat)-2 lidar (Light detection and ranging) datasets and classical Landsat imagery, a method was proposed to monitor annual changes of lake water levels and volumes for 35 years dated back to 1980s. Based on the proposed method, the annual water levels and volumes of Lake Mead in the USA over 1984–2018 were obtained using only two-year measurements of the ICESat-2 altimetry datasets and all available Landsat observations from 1984 to 2018. During the study period, the estimated annual water levels of Lake Mead agreed well with the in situ measurements, i.e., the R2 and RMSE (Root-mean-square error) were 1.00 and 1.06 m, respectively, and the change rates of lake water levels calculated by our method and the in situ data were −1.36 km3/year and −1.29 km3/year, respectively. The annual water volumes of Lake Mead also agreed well with in situ measurements, i.e., the R2 and RMSE were 1.00 and 0.36 km3, respectively, and the change rates of lake water volumes calculated by our method and in situ data were −0.57 km3/year and −0.58 km3/year, respectively. We found that the ICESat-2 exhibits a great potential to accurately characterize the Earth’s surface topography and can capture signal photons reflected from underwater bottoms up to approximately 10 m in Lake Mead. Using the ICESat-2 datasets with a global coverage and our method, accurately monitoring changes of annual water levels/volumes of lakes—which have good water qualities and experienced significant water level changes—is no longer limited by the time span of the available satellite altimetry datasets, and is potentially achievable over a long-term period.

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“…The image matching of consecutive frames is a critical step in the mosaic process, which can be broadly categorized into feature-based matching and pixel intensity-based matching [17]. The feature-based methods such as Harris [18], SIFT or SURF [19] assume that distinct feature points in both the source image and the examined image can be reliably detected and elaborated by image descriptors. Given enough potent matches of feature points, it is possible to estimate the matching parameters between two images.…”

Section: Related Workmentioning

confidence: 99%

Generating a Cylindrical Panorama from a Forward-Looking Borehole Video for Borehole Condition Analysis

et al. 2019

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Geological exploration plays a fundamental and crucial role in geological engineering. The most frequently used method is to obtain borehole videos using an axial view borehole camera system (AVBCS) in a pre-drilled borehole. This approach to surveying the internal structure of a borehole is based on the video playback and video screenshot analysis. One of the drawbacks of AVBCS is that it provides only a qualitative description of borehole information with a forward-looking borehole video, but quantitative analysis of the borehole data, such as the width and dip angle of fracture, are unavailable. In this paper, we proposed a new approach to create a whole borehole-wall cylindrical panorama from the borehole video acquired by AVBCS, which provides a possibility for further analysis of borehole information. Firstly, based on the Otsu and region labeling algorithms, a borehole center location algorithm is proposed to extract the borehole center of each video image automatically. Afterwards, based on coordinate mapping (CM), a virtual coordinate graph (VCG) is designed in the unwrapping process of the front view borehole-wall image sequence, generating the corresponding unfolded image sequence and reducing the computational cost. Subsequently, based on the sum of absolute difference (SAD), a projection transformation SAD (PTSAD), which considers the gray level similarity of candidate images, is proposed to achieve the matching of the unfolded image sequence. Finally, an image filtering module is introduced to filter the invalid frames and the remaining frames are stitched into a complete cylindrical panorama. Experiments on two real-world borehole videos demonstrate that the proposed method can generate panoramic borehole-wall unfolded images from videos with satisfying visual effect for follow up geological condition analysis. From the resulting image, borehole information, including the rock mechanical properties, distribution and width of fracture, fault distribution and seam thickness, can be further obtained and analyzed.

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Obtaining High-Resolution Seabed Topography and Surface Details by Co-Registration of Side-Scan Sonar and Multibeam Echo Sounder Images

Cited by 42 publications

References 47 publications

Using Remote Sensing Data to Identify Large Bottom Objects: The Case of World War II Shipwreck of General von Steuben

Using Remote Sensing Data to Identify Large Bottom Objects: The Case of World War II Shipwreck of General von Steuben

Monitoring Annual Changes of Lake Water Levels and Volumes over 1984–2018 Using Landsat Imagery and ICESat-2 Data

Generating a Cylindrical Panorama from a Forward-Looking Borehole Video for Borehole Condition Analysis

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