Retrieval of Remotely Sensed Sediment Grain Size Evolution Characteristics along the Southwest Coast of Laizhou Bay Based on Support Vector Machine Learning

Retrieval of Remotely Sensed Sediment Grain Size Evolution Characteristics along the Southwest Coast of Laizhou Bay Based on Support Vector Machine Learning

Grain size is the basic property of intertidal zone sediment. Grain size acts as an indicator of sedimentary processes and geomorphological evolution under human and nature interactions. The remote sensing technique provides an alternative for sediment grain-size parameter monitoring with the advant...

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Bibliographic Details
Main Authors: Xiang Yu, Chao Zhan, Yan Liu, Jialin Bi, Guoqing Li, Buli Cui, Longsheng Wang, Xianbin Liu, Qing Wang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Journal of Marine Science and Engineering
Subjects:
grain-size
retrieval
Landsat images
support vector machine (SVM)
back propagation neural networks (BPNN)
Laizhou Bay
Online Access:https://www.mdpi.com/2077-1312/10/7/968

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