Image analysis for water surface and subsurface feature detection in shallow waters

Bostater, Charles R.; Jones, J. Adam; Frystacky, Heather; Kovacs, Mate; Jozsa, Oszkar

doi:10.1117/12.870728

Cited by 6 publications

(2 citation statements)

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“…Existing airborne and future satellite missions with small ground sampling distances (GSD) such as AirSWOT and SWOT may provide unparalleled noncontact water surface wave imaging for small shallow water regions using Ka band sensing and interferometry 10,11 . Bostater, et al 8,9,12,13 have used not only twin airborne platforms, but also ground and fixed sensing platforms and related multi-angle goniometer systems to make BRDF and BRF based anisotropic factors. These factors are needed to correct multiangle sensor data in order to help characterize reflectance of the water surface, for example of weather oil on the water surface and in vegetative dysfunction monitoring.…”

Section: Introduction Backgroundmentioning

confidence: 99%

Shallow water surface gravity wave imaging, spectra and their use in shallow water dredging operations

Bostater

Yang

2014

SPIE Proceedings

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Imaging of shallow waters using high resolution video imagery is described. Common to mono, stereo and trinocular imaging approaches from ground and airborne platforms is the need to validate the surface water wave field measurements, particularly the amplitude and specular reflectance of water surface small gravity waves. A technique for calibration and validation of water surface gravity wave field energy spectra is described. Results demonstrate the value of video imagery where water level staff gauges with approximately with 0.5 cm wave height accuracy are easily sensed using high definition videography. Essentially, a staff gauge placed in shallow water constructed from PVC materials with custom colored line coding are imaged at 30 H or high frame rates, followed by frame by frame analyses in order to detect the water level measured at 0.5 cm height intervals. The image based time series allow the development of shallow water gravity wave energy spectra using standard FFT analysis procedures. Spectral models based upon peak frequency, for example, are then used in a two dimensional water surface wave simulation model that generates radiative transfer based hyperspectral images of the water surface wave field. The simulated and observed water surface wave patch fields are compared by extracting vertical or horizontal transects within observed and simulated imagery. The approach allows one to developed spectral energy model probability distributions at low cost. The novel noncontact video sensing and image analysis methodology used to calibrate and validate shallow water gravity wave models yield a means for ultimately calculating bottom boundary velocities under measured or simulated wave fields. These boundary layer velocities can cause migration and horizontal particle fluxes (g cm -2 s -1 ), resuspension, settling, and increased turbidity during dredging operations, but not necessarily due to waterway dredging operations and activities.

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Section: Introduction Backgroundmentioning

confidence: 99%

Shallow water surface gravity wave imaging, spectra and their use in shallow water dredging operations

Bostater

Yang

2014

SPIE Proceedings

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“…So far, HSI has shown that reconstruction of the subsurface, objects, and vegetation in the ocean [ 17 ] can be achieved by using wavelengths with different penetration depths for purely absorbing media. In a previous publication [ 18 ], it was shown by our group that for two inclusions with different depths, the spectra change for different inclusion depths.…”

Section: Introductionmentioning

confidence: 99%

Proof of Principle for Direct Reconstruction of Qualitative Depth Information from Turbid Media by a Single Hyper Spectral Image

Hohmann

Hecht

Lengenfelder

et al. 2021

Sensors

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In medical applications, hyper-spectral imaging is becoming more and more common. It has been shown to be more effective for classification and segmentation than normal RGB imaging because narrower wavelength bands are used, providing a higher contrast. However, until now, the fact that hyper-spectral images also contain information about the three-dimensional structure of turbid media has been neglected. In this study, it is shown that it is possible to derive information about the depth of inclusions in turbid phantoms from a single hyper-spectral image. Here, the depth information is encoded by a combination of scattering and absorption within the phantom. Although scatter-dominated regions increase the backscattering for deep vessels, absorption has the opposite effect. With this argumentation, it makes sense to assume that, under certain conditions, a wavelength is not influenced by the depth of the inclusion and acts as an iso-point. This iso-point could be used to easily derive information about the depth of an inclusion. In this study, it is shown that the iso-point exists in some cases. Moreover, it is shown that the iso-point can be used to obtain precise depth information.

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Operational multi-angle hyperspectral remote sensing for feature detection

Bostater

Brooks

2013

SPIE Proceedings

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Image analysis for water surface and subsurface feature detection in shallow waters

Cited by 6 publications

References 0 publications

Shallow water surface gravity wave imaging, spectra and their use in shallow water dredging operations

Shallow water surface gravity wave imaging, spectra and their use in shallow water dredging operations

Proof of Principle for Direct Reconstruction of Qualitative Depth Information from Turbid Media by a Single Hyper Spectral Image

Operational multi-angle hyperspectral remote sensing for feature detection

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