Results 1 to 10 of about 166,463 (182)

A Convolutional Neural Network with Spatial Location Integration for Nearshore Water Depth Inversion [PDF]

Sensors, 2023
Nearshore water depth plays a crucial role in scientific research, navigation management, coastal zone protection, and coastal disaster mitigation. This study aims to address the challenge of insufficient feature extraction from remote sensing data in ...
Chunlong He, Qigang Jiang, Guofang Tao, Zhenchao Zhang   +3 more
doaj   +6 more sources

Effect of the One-to-Many Relationship between the Depth and Spectral Profile on Shallow Water Depth Inversion Based on Sentinel-2 Data

Remote Sensing
In shallow water, Sentinel-2 multispectral imagery has only four visible bands and limited quantization levels, which easily leads to the occurrence of the same spectral profile but different depth (SSPBDD) phenomenon, resulting in a one-to-many ...
Erhui Huang, Benqing Chen, Kai Luo, Shuhan Chen   +3 more
doaj   +4 more sources

Enhancing water depth inversion accuracy via SAR and variable window sliding segmentation

Frontiers in Marine Science
The utilization of synthetic aperture radar (SAR) for depth inversion is crucial for accurate underwater mapping. However, current SAR-based techniques face challenges in segmentation accuracy, which directly affects inversion precision and spatial ...
Meng Zhang, Meng Zhang, Chao Qi, Chao Qi, Fanlin Yang, Fanlin Yang, Ruifu Wang, Ruifu Wang, Saied Pirasteh, Saied Pirasteh   +9 more
doaj   +4 more sources

A METHOD OF WATER DEPTH INVERSION IN COASTAL AREA CONSIDERING TEMPERATURE INFORMATION [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
The remote sensing method for water depth inversion is fast, flexible, and low in cost, which has become an important means of method for water depth detection. This paper takes the coastal area where is around Gulangyu Island as the research area. Based
Y. Liu, X. Gao, G. Wang, G. Wang, T. Zhang, J. Wang   +5 more
doaj   +3 more sources

Enhancing Water depth inversion accuracy in turbid coastal environments using random forest and coordinate attention mechanisms

Frontiers in Marine Science
This study introduces an innovative water depth estimation method for complex coastal environments, focusing on Yantian Port. By combining Random Forest algorithms with a Coordinate Attention mechanism, we address limitations of traditional bathymetric ...
Siwen Fang, Zhongqiang Wu, Zhongqiang Wu, Shulei Wu, Zhixing Chen, Wei Shen, Wei Shen, Zhihua Mao   +7 more
doaj   +4 more sources

Rapid advancements in large language models for quantitative remote sensing: The case of water depth inversion

Science of Remote Sensing
This study presents a comparative analysis of two advanced AI models, ChatGPT and ERNIE, in the context of water depth inversion. Utilizing satellite spectral data and in-situ bathymetric measurements collected from Rushikonda Beach, India, we processed ...
Zhongqiang Wu, Wei Shen, Zhihua Mao, Shulei Wu   +3 more
doaj   +4 more sources

Accurate Depth Inversion Method for Coastal Bathymetry: Introduction of Water Wave HighOrder Dispersion Relation [PDF]

Journal of Marine Science and Engineering, 2020
This paper proposes a wave model for the depth inversion of sea bathymetry based on a new highorder dispersion relation which is more suitable for intermediate water depth. The core of this model, a highorder dispersion relation is derived in this paper.
Hongli Ge, Hao Liu, Libang Zhang
doaj   +2 more sources

Fitting profile water depth to improve the accuracy of lake depth inversion without bathymetric data based on ICESat-2 and Sentinel-2 data

International Journal of Applied Earth Observation and Geoinformation, 2023
It is essential to study how to obtain precise bathymetric and mapping in inland lakes only from satellite data. In this study, the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) photon point cloud was first denoised by combining the manual interaction (MI) and density-based spatial clustering of applications with noise (DBSCAN) algorithm in ...
Baojin Qiao, Shuowen Huang, Hengliang Guo   +2 more
exaly   +3 more sources

Water depth inversion based on ICESat-2 and Sentinel-2—A case study of Qiagui Co and Ayakekumu Lake on the Tibetan Plateau

Journal of Hydrology: Regional Studies
Study region: Two lakes on the Tibetan Plateau. Study focus: This study utilizes ICESat-2 data to extract water depth, integrates Sentinel-2 and various machine learning models to invert water depth, and evaluates the accuracy of these models, ensuring ...
Baojin Qiao, Tianjiao Du, Jianting Ju, Liping Zhu   +3 more
doaj   +3 more sources

Reconstruction and inversion of lake water depth based on ICESat-2 photon and Sentinel-2 — A case study of Caiduochaka Lake on the Tibetan Plateau

Journal of Hydrology: Regional Studies
Study region: Caiduochaka Lake (CK) on the Tibetan Plateau (TP). Study focus: This study reconstructs the bathymetry of CK by integrating Sentinel-2's large-area, spatially continuous spectral data with precise but spatially discontinuous depth ...
Tianjiao Du, Jinzhu Li, Zhongxuan Wang, Yuqi Zhang, Baojin Qiao   +4 more
doaj   +3 more sources