基于GA-PLS算法的河网水体化学需氧量高光谱反演

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与综合管理实验室

	基于GA-PLS算法的河网水体化学需氧量高光谱反演
	蔡建楠 1,2; 刘海龙 3; 姜波 3; 何甜辉 1; 陈文杰 2; 冯志伟 2; 黎倬琳 2; 邢前国 3
刊名	灌溉排水学报
	2020
卷号	39 期号:9 页码:126-131
关键词	高光谱遗传算法偏最小二乘法化学需氧量河网水体
ISSN号	1672-3317
其他题名	Using Hyperspectral Imagery and GA-PLS Algorithm to Estimate Chemical Oxygen Demand Concentration of Water in River Network
文献子类	Article
英文摘要	【Objective】The hyperspectral remote sensing has proven potential to monitor water quality, but issues such as data redundancy and susceptibility to environmental variation could affect its accuracy and reliability. The genetic algorithm-partial least squares (GA-PLS) algorithm with a function to select sensitive spectral variables could resolve these problems. The GA-PLS algorithm was mainly used in retrieval of the optically active parameters such as transparency, chlorophyll-a, suspended matter and turbidity in surface water bodies. The purpose of this paper is to combine it with hyperspectral retrieval model to estimate chemical oxygen demand (COD) concentration of water in the river network in the Pearl River estuary.【Method】Hyperspectral imageries and COD concentration of 146 samples taken from water bodies in the Pearl River estuary were collected, and the characteristic bands of the hyperspectral reflectance data were screened using the GA-PLS algorithm to retrieve the COD concentration. The differences in retrieval accuracy between different band combinations were compared.【Result】The COD concentration retrieved from the hyperspectral imageries based on the GA-PLS algorithm is more accurate than that calculated using the full-spectrum PLS model. The minimum RMSEP of the method was 4.887 mg/L, 11.4% less than that of the full-spectrum PLS model. Using 74 filtered bands, accounting for 2.9% of the full bands, the model was still stable and accurate. Some characteristic bands obtained by the GA-PLS algorithm have physical interpretation, indicating that the screening results were rational.【Conclusion】The GA-PLS algorithm can be used to screen characteristic bands from the hyperspectral imageries to reduce the number of data and simplify the model as a result. It can accurately estimate COD of water in river networks.
语种	中文
CSCD记录号	CSCD:6813156
资助机构	中国科学院重点仪器项目 ; 国家自然科学基金项目 ; 2020年广东省科技创新战略专项
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/30334]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室
作者单位	1.中山市环境监测站,广东中山528403; 2.中山市生态环境局,广东中山528403; 3.中国科学院烟台海岸带研究所/中国科学院海岸带环境过程与生态修复重点实验室,山东烟台264003
推荐引用方式 GB/T 7714	蔡建楠,刘海龙,姜波,等. 基于GA-PLS算法的河网水体化学需氧量高光谱反演[J]. 灌溉排水学报,2020,39(9):126-131.
APA	蔡建楠.,刘海龙.,姜波.,何甜辉.,陈文杰.,...&邢前国.(2020).基于GA-PLS算法的河网水体化学需氧量高光谱反演.灌溉排水学报,39(9),126-131.
MLA	蔡建楠,et al."基于GA-PLS算法的河网水体化学需氧量高光谱反演".灌溉排水学报 39.9(2020):126-131.