Remote sensing of suspended sediment water research: principles, methods, and progress

Ping Shen; Jing Zhang

doi:10.1117/12.899297

23 November 2011 Remote sensing of suspended sediment water research: principles, methods, and progress

Ping Shen, Jing Zhang

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80061V (2011) https://doi.org/10.1117/12.899297
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

In this paper, we reviewed the principle, data, methods and steps in suspended sediment research by using remote sensing, summed up some representative models and methods, and analyzes the deficiencies of existing methods. Combined with the recent progress of remote sensing theory and application in water suspended sediment research, we introduced in some data processing methods such as atmospheric correction method, adjacent effect correction, and some intelligence algorithms such as neural networks, genetic algorithms, support vector machines into the suspended sediment inversion research, combined with other geographic information, based on Bayesian theory, we improved the suspended sediment inversion precision, and aim to give references to the related researchers.

Citation Download Citation

Ping Shen and Jing Zhang "Remote sensing of suspended sediment water research: principles, methods, and progress", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061V (23 November 2011); https://doi.org/10.1117/12.899297

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KEYWORDS

Remote sensing

Data modeling

Atmospheric corrections

Image quality

Reflectivity

Water

Solid modeling

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