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Estimating near-shore bathymetry using SAR

IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174), 1998
Presents two algorithms for estimating near-shore bathymetry from synthetic aperture radar (SAR) data. The first algorithm utilizes the kinematics of the shoaling waves to extract depths under the assumption of no significant current in the direction of wave propagation. The second algorithm utilizes the average radar cross section to estimate the rate
C. Wackerman   +3 more
openaire   +1 more source

A new estimation technique for high-resolution bathymetry

Signal Processing, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pillai, S. R.   +2 more
openaire   +1 more source

Interferometric angle estimation for bathymetry performance analysis

OCEANS 2011 IEEE - Spain, 2011
The quality of depth measurements used in either sonar or radar applications determines the confidence on the mapping accuracy. Several methods can be considered to determine this depth measurement, ranging from amplitude-based detection, interferometry, to complex signal-based detection, such as so-called high-resolution methods. This paper is devoted
Gerard Llort-Pujol, Christophe Sintes
openaire   +1 more source

Bathymetry estimations using vicariously calibrated HICO data

SPIE Proceedings, 2013
The Hyperspectral Imager for the Coastal Ocean (HICO) is a prototype sensor installed on the International Space Station (ISS) designed to explore the management and capability of a space-borne hyperspectral sensor. The Office of Naval Research (ONR) funded the development and management of HICO.
David Lewis   +4 more
openaire   +1 more source

Geostatistical Gravity Inversion for Estimating Sub-Ice-Bathymetry

2022
<p>Sub-ice-bathymetry is an important boundary condition when modelling the evolution of ice shelves and ice sheets. Radar sounding is a proven method to reveal the sub-ice-topography beneath grounded ice. However, it fails to image the bathymetry beneath the floating ice shelves due to the strong radar reflectivity of sea water.
Jonas Liebsch   +3 more
openaire   +1 more source

Nearshore bathymetry estimation by indirect methods

research@ua, 2022
No abstract available.
Santos, Diogo   +7 more
openaire   +1 more source

Backscatter Features for Estimating Synthetic Aperture Sonar Bathymetry

Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020
Synthetic aperture sonar (SAS) bathymetric mapping has matured in recent years and is adopted by industry, government and academia for mapping and exploration of large areas in more detail than previously feasible. As with other types of bathymetric mapping, averaging is often a critical processing step in order to gain sufficient signal quality to ...
Ole J. Lorentzen   +2 more
openaire   +1 more source

Synthetic aperture bathymetry estimation with a multielement array

Proceedings of the 27th Conference on Image and Vision Computing New Zealand, 2012
Bathymetric estimation from multiple synthetic aperture sonar (SAS) images is challenging for shallow water environments with low frequencies. This is due to the multipath echoes corrupting the desired direct-path echoes. In an attempt to suppress some of these multipaths, the MUD synthetic aperture sonar developed at TNO has a sixteen element vertical
Hayes, M., Hunter, A.J.
openaire   +2 more sources

Estimating layover in broadband synthetic aperture sonar bathymetry

Europe Oceans 2005, 2005
In this paper we investigate broadband interferometric height estimation using a small vertical hydrophone array and multiple frequency bands as a means of reducing image layover artefacts. We demonstrate the effect of layover on bathymetric images using simulated imagery to avoid the ground-truth problem.
M.P. Hayes   +3 more
openaire   +1 more source

A new python tool for coastal bathymetry estimation : S2Shores

2023
        Coastal areas host 53% of the world's population increasingly subject to risks related to climate change. In order to understand and prevent these risks, the prediction of coastal hydrodynamic and morphological evolution is essential.
Grégoire Thoumyre   +6 more
openaire   +1 more source

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