Results 11 to 20 of about 116,854 (310)
Evaluation of Depth Anything Models for Satellite-Derived Bathymetry [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThe emergence of foundation models has driven major advancements in computer vision and natural language processing, primarily due to their strong zero-shot and few-shot capabilities powered by large-scale, diverse datasets. While earlier approaches used
E. Günaydın +3 more
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METHODS FOR SATELLITE DERIVED BATHYMETRY FROM SENTINEL-2 IMAGES: A COMPARISON [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesIn recent decades, research has been developed to estimate near-shore bathymetry depth values using satellite imagery. Visible and infrared bands are used to derive elevation profile estimates, so to obtain bathymetric in rapid way without mobilisation ...
F. G. Figliomeni, C. Parente
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Remote Sensing, 2020 Physics-based radiative transfer model (RTM) inversion methods have been developed and implemented for satellite-derived bathymetry (SDB); however, precise atmospheric correction (AC) is required for robust bathymetry retrieval.
Christopher O. Ilori, Anders Knudby
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Automated classification of valid and invalid satellite derived bathymetry with random forest
International Journal of Applied Earth Observations and GeoinformationRecent decades have seen rapid growth in algorithms and workflows for generating bathymetry from multispectral satellite imagery, with the output typically referred to as satellite derived bathymetry (SDB).
Matthew B. Sharr +2 more
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Physics-Based Satellite-Derived Bathymetry (SDB) Using Landsat OLI Images
Remote SensingThe estimation of depth in optically shallow waters using satellite imagery can be efficient and cost-effective. Active sensors measure the distance traveled by an emitted laser pulse propagating through the water with high precision and accuracy if the ...
Minsu Kim +3 more
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Satellite derived bathymetry using deep learning [PDF]
Machine Learning, 2021 Coastal development and urban planning are facing different issues including natural disasters and extreme storm events. The ability to track and forecast the evolution of the physical characteristics of coastal areas over time is an important factor in coastal development, risk mitigation and overall coastal zone management.
Al Najar, Mahmoud +5 more
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ICESat-2 Elevation Retrievals in Support of Satellite-Derived Bathymetry for Global Science Applications. [PDF]
Geophys Res Lett, 2021 Bathymetry retrievals from 2D, multispectral imagery, referred to as Satellite‐Derived Bathymetry (SDB), afford the potential to obtain global, nearshore bathymetric data in optically clear waters.
Babbel BJ, Parrish CE, Magruder LA.
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A COMBINED COLOR AND WAVE-BASED APPROACH TO SATELLITE DERIVED BATHYMETRY USING DEEP LEARNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Knowledge of the evolution of the littoral zone over time is paramount for coastal science and coastal zone management. However, traditional bathymetric surveys using echo-sounding techniques are unsuitable for large-scale applications due to a variety ...
M. Al Najar +9 more
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A VGGNet-Based Method for Refined Bathymetry from Satellite Altimetry to Reduce Errors
Remote Sensing, 2022 Only approximately 20% of the global seafloor topography has been finely modeled. The rest either lacks data or its data are not accurate enough to meet practical requirements.
Xiaolun Chen +7 more
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Remote Sensing, 2022 The ability to monitor the evolution of the coastal zone over time is an important factor in coastal knowledge, development, planning, risk mitigation, and overall coastal zone management.
Mahmoud Al Najar +7 more
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