湖滨绿洲土壤有机碳含量的支持向量机估算模型OA北大核心CSTPCD
Support vector machines estimation model of soil organic carbon content in lakeside oasis
[目的]利用高光谱数据快速估算土壤有机碳含量,为干旱区湖滨绿洲合理开发土地资源提供科学依据.[方法]以新疆博斯腾湖北岸湖滨绿洲为研究区,将实测的土壤有机碳含量数据与高光谱数据相结合,对原始光谱进行SG平滑(SavitzkyGolay smoothing,SG)、连续统去除(Continuum Removal,CR)、连续小波变换(Continuous Wavelet Transform,CWT)预处理,采用连续投影算法(Successive Pr…查看全部>>
[Objective]To study rapid estimation of soil organic carbon content using hyperspectral data in the hope of providing scientific basis for rational development of land resources in lakeside oases in arid re-gions.[Methods]The north lakeside oasis of Bosten Lake was taken as the study area and the measured soil organic carbon content data were combined with the hyperspectral data.Successive Projections Algorithm(SPA)was used to screen the successive bands aft…查看全部>>
杨吉祥;李新国
新疆师范大学地理科学与旅游学院/新疆干旱区湖泊环境与资源实验室,乌鲁木齐 830054新疆师范大学地理科学与旅游学院/新疆干旱区湖泊环境与资源实验室,乌鲁木齐 830054
农业科学
土壤有机碳含量连续小波变换连续投影算法支持向量机模型高光谱数据
soil organic carbon contentcontinuous wavelet transformsuccessive projections algorithmsupport vector machines modelhyperspectral data
《新疆农业科学》 2024 (6)
1477-1486,10
新疆维吾尔自治区自然科学基金项目(2022D01A214)国家自然科学基金项目(41661047) Natural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01A214)National Natural Science Foundation of China(41661047)
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