Results 261 to 270 of about 116,854 (310)

Multi-Model Synergistic Satellite-Derived Bathymetry Fusion Approach Based on Mamba Coral Reef Habitat Classification

Remote Sensing
As fundamental geophysical information, the high-precision detection of shallow water bathymetry is critical data support for the utilization of island resources and coral reef protection delimitation.
Xuechun Zhang, Yi Ma, Feifei Zhang, Zhongwei Li, Jingyu Zhang   +4 more
semanticscholar   +1 more source

Satellite-Derived Bathymetry Using Deep Convolutional Neural Network

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Our goal is to develop technique for assessing bathymetry maps, which show the topography of the floors of water-bodies, using satellite or aerial imagery. The advent of deep neural networks has enabled the use of new techniques in analysing and creating depth maps from high resolution satellite images.
Bibin Wilson, Nikhil Cherian Kurian, Anand Singh, Amit Sethi   +3 more
openaire   +1 more source

A novel spatial graph attention networks for satellite-derived bathymetry in coastal and island waters.

Journal of Environmental Management
Obtaining accurate bathymetric maps is crucial for various applications like marine monitoring and planning. However, bathymetric inversion is influenced by water quality conditions and bottom reflections exhibiting spatial similarity.
Yuchen Zhao, Siwen Fang, Zhongqiang Wu, Shulei Wu, Huandong Chen, Chunhui Song, Zhihua Mao, Wei Shen   +7 more
semanticscholar   +1 more source

Satellite-derived bathymetry based on iterative fusion of active lidar photons and passive pseudo-photons

International Journal of Digital Earth
Satellite-derived bathymetry (SDB) is increasingly being recognized as a cost-effective technique for acquiring extensive and high-resolution bathymetric data through the inversion of passive optical remote sensing imagery.
Qixin Hu, Jizhe Li, Liang Cheng
semanticscholar   +1 more source

Satellite-derived bathymetry integrating spatial and spectral information of multispectral images

Applied Optics, 2023
As a significant and cost-effective method of obtaining shallow seabed topography, satellite derived bathymetry (SDB) can acquire a wide range of shallow sea depth by integrating a small quantity ofin-situwater depth data. This method is a beneficial addition to traditional bathymetric topography.
Ningning Li, Qiuhua Tang, Yilan Chen, Zhipeng Dong, Jie Li, Xuancheng Fu   +5 more
openaire   +2 more sources

PHY-SDB: a dual-physics-guided deep learning framework for hyperspectral satellite-derived bathymetry

GIScience & Remote Sensing
Satellite-derived bathymetry (SDB) is vital for coastal and reef ecosystem monitoring, yet conventional data-driven methods often lack physical interpretability and robustness in optically complex shallow waters.
Li Ye, Hui Chen, Jianbo Xiao, Chengqi Lu, Jinghao Zhang, Sensen Chu, Liang Cheng   +6 more
semanticscholar   +1 more source

Sentinel-2 Satellite-Derived Bathymetry with Data-Efficient Domain Adaptation

Journal of Marine Science and Engineering
Satellite-derived bathymetry (SDB) enables the efficient mapping of shallow waters such as coastal zones but typically requires extensive local ground truth data to achieve high accuracy.
Christos G. E. Anagnostopoulos, Vassilios Papaioannou, Konstantinos Vlachos, A. Moumtzidou, Ilias Gialampoukidis, S. Vrochidis, I. Kompatsiaris   +6 more
semanticscholar   +1 more source

Satellite-derived bathymetry in Case II coastal waters during tidal ebb and flow without in-situ data: a case study around Jiaozhou Bay, Yellow Sea

International Journal of Remote Sensing
Currently, satellite-derived bathymetry (SDB) using satellite remote sensing data (i.e. ICESat-2 and optical images) is commonly employed in clear water areas (Case I waters). However, in most coastal waters, particularly Case II waters, acquiring ICESat-
Fanlin Yang, Shaoyu Li, Chao Qi, Dianpeng Su, Xiao Hua Wang, Meng Zhang   +5 more
semanticscholar   +1 more source

Mapping Multidecadal Morphological Variability Via Satellite Derived Bathymetries

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
This paper outlines a novel approach to calibrating satellite derived relative depth surfaces generated using the ratio transform algorithm first proposed by Stumpf et al. The method utilizes raster image equal interval classification to generate depth classes and to identify both the upper and lower limits of sensitivity to the depth signal within the
Annette Burke, Hsing-Chung Chang, Hannah E. Power   +2 more
openaire   +1 more source

Very high-resolution satellite-derived bathymetry using panchromatic and multispectral image fusion.

Applied Optics
Satellite-derived bathymetry can rapidly acquire shallow water bathymetric data with high spatial resolution. However, the high cost of very high-resolution (VHR) imagery limits the acquisition of VHR bathymetric data.
Chenyang Jiang, Yilan Chen, Yanxiong Liu, Zhipeng Dong, Qiuhua Tang, Zhixian Li   +5 more
semanticscholar   +1 more source