Remote sensing of water quality based on HJ-1A HSI imagery with modified discrete binary particle swarm optimization-partial least squares (MDBPSO-PLS) in inland waters: A case in Weishan Lake-Reference-Cited by-同舟云学术

Remote sensing of water quality based on HJ-1A HSI imagery with modified discrete binary particle swarm optimization-partial least squares (MDBPSO-PLS) in inland waters: A case in Weishan Lake

Published:2018-03 Issue: Volume:44 Page:21-32
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Cao Yin,Ye Yuntao,Zhao Hongli,Jiang Yunzhong,Wang Hao,Shang Yizi,Wang Junfeng

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Key Scientific Research Project of China Institute of Water Resources and Hydropower Research

China Institute of Water Resources and Hydropower Research

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modelling,Modelling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference72 articles.

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5. Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality;Brando;IEEE Trans. Geosci. Remote Sens.,2003

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