Photogrammetry of the deep seafloor from archived unmanned submersible exploration dives
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Abstract
Large amounts of video images have been collected for decades by scientific and governmental organizations in deep (>1000 m) water using manned and unmanned submersibles and towed cameras. The collected images were analyzed individually or were mosaiced in small areas with great effort. Here, we provide a workflow for utilizing modern photogrammetry to construct virtual geological outcrops hundreds or thousands of meters in length from these archived video images. The photogrammetry further allows quantitative measurements of these outcrops, which were previously unavailable. Although photogrammetry had been carried out in recent years in the deep sea, it had been limited to small areas with pre-defined overlapping dive paths. Here, we propose a workflow for constructing virtual outcrops from archived exploration dives, which addresses the complicating factors posed by single non-linear and variable-speed vehicle paths. These factors include poor navigation, variable lighting, differential color attenuation due to variable distance from the seafloor, and variable camera orientation with respect to the vehicle. In particular, the lack of accurate navigation necessitates reliance on image quality and the establishment of pseudo-ground-control points to build the photogrammetry model. Our workflow offers an inexpensive method for analyzing deep-sea geological environments from existing video images, particularly when coupled with rock samples.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Photogrammetry of the deep seafloor from archived unmanned submersible exploration dives |
| Series title | Journal of Marine Science and Engineering |
| DOI | 10.3390/jmse12081250 |
| Volume | 12 |
| Issue | 8 |
| Year Published | 2024 |
| Language | English |
| Publisher | MDPI |
| Contributing office(s) | Woods Hole Coastal and Marine Science Center |
| Description | 1250, 19 p. |
| Other Geospatial | Atlantic Ocean |
| Google Analytic Metrics | Metrics page |