Results 11 to 20 of about 29,357 (211)

Sediment Classification of Acoustic Backscatter Image Based on Stacked Denoising Autoencoder and Modified Extreme Learning Machine

Remote Sensing, 2020
Acoustic backscatter data are widely applied to study the distribution characteristics of seabed sediments. However, the ghosting and mosaic errors in backscatter images lead to interference information being introduced into the feature extraction ...
Ping Zhou, Gang Chen, Mingwei Wang, Jifa Chen, Yizhe Li   +4 more
doaj   +1 more source

Analysis on Effective UAS Survey Conditions for Classification of Coastal Sediments

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
This study aims to introduce effective unmanned aerial system (UAS) survey conditions for coastal sediment classification, including muddy sand, sand, gravel, and shells in a tidal flat area.
Hyesu Kim, Jaehyung Yu, Lei Wang, Chanhyeok Park, Hyuk Soo Han, Seong-Geon Jang   +5 more
doaj   +1 more source

ASSESSMENT OF MULTIBEAM BACKSCATTER TEXTURE ANALYSIS FOR SEAFLOOR SEDIMENT CLASSIFICATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Recently, there have been many debates to analyse backscatter data from multibeam echosounder system (MBES) for seafloor classifications. Among them, two common methods have been used lately for seafloor classification; (1) signal-based classification ...
S. A. Samsudin, R. C. Hasan
doaj   +1 more source

Deep-Sea Seabed Sediment Classification Using Finely Processed Multibeam Backscatter Intensity Data in the Southwest Indian Ridge

Remote Sensing, 2022
In 2007, China discovered a hydrothermal anomaly in the Longqi hydrothermal area of the Southwest Indian Ridge. It was the first seabed hydrothermal area discovered in the ultraslow spreading ocean ridge in the world.
Qiuhua Tang, Jie Li, Deqiu Ding, Xue Ji, Ningning Li, Lei Yang, Weikang Sun   +6 more
doaj   +1 more source

Classification of Marine Sediment in the Northern Slope of the South China Sea Based on Improved U-Net and K-Means Clustering Analysis

Remote Sensing, 2023
The classification of marine sediment based on acoustic data is crucial for various applications such as marine resource exploitation, marine engineering construction, and marine ecological environment maintenance.
Qingjie Zhou, Xishuang Li, Lejun Liu, Jingqiang Wang, Linqing Zhang, Baohua Liu   +5 more
doaj   +1 more source

Quantifying the Importance of Ice-Rafted Debris to Salt Marsh Sedimentation Using High Resolution UAS Imagery

Remote Sensing, 2022
Salt marshes are vulnerable to sea-level rise, sediment deficits, and storm impacts. To remain vertically resilient, salt marshes must accrete sediment at rates greater or equal to sea-level rise. Ice-rafted debris (IRD), sediment that has been moved and
Sarah Stopak, Giovanna Nordio, Sergio Fagherazzi   +2 more
doaj   +1 more source

Sediment classification in a Brazilian reservoir: Pros and cons of parametric low frequencies

Advances in Oceanography and Limnology, 2019
Sediment is the main factor that limits the reservoir lifetime. Therefore, sediment classification is an essential tool for planning and operating reservoir management measures. There has been important development in the hydroacoustic classification of
Klajdi Sotiri, Stephan Hilgert, Stephan Fuchs   +2 more
doaj   +1 more source

Research on Marine sediment Measurement for the needs of Modern Marine Survey [PDF]

E3S Web of Conferences, 2020
Marine sediment information is one of the important elements of marine spatial geographic information. Combined with the development and application requirements of marine geospatial information system, according to the requirements of marine sediment ...
SUN Chao, Wang Nan, Bian Gang, Jin Shaohua   +3 more
doaj   +1 more source

Use of seismic attributes for sediment classification

The Journal of Engineering, 2015
A study to understand the relationships between seismic attributes extracted from 2D high-resolution seismic data and the seafloor's sediments of the surveyed area.
Fabio Radomille Santana, Arthur Ayres Neto   +1 more
doaj   +1 more source

Classifications of runoff and sediment data to improve the rating curve method

Journal of Agricultural Engineering, 2017
In this study, data classification method was evaluated to increase accuracy of estimating suspended sediment load. To achieve this objective, suspended sediment in Chehelgazi and Khalife Tarkhan rivers in Kurdistan, Iran, were estimated using sediment ...
Hossein Khaledian, Homayoun Faghih, Ata Amini   +2 more
doaj   +1 more source