一种基于综合吸收能力的高光谱遥感植被指数计算方法

发布时间：2018-04-04 13:51

本文选题：高光谱遥感　切入点：植被指数　出处：《地球物理学进展》2017年04期

【摘要】：植被指数一直是遥感技术研究植被的重要方法,当前主要方法多是利用遥感数据中的典型波段进行组合计算.随着高光谱遥感的广泛应用,简单波段组合计算应用于高光谱遥感数据效果并不理想,植被指数计算方法需要在传统方法基础上,充分利用连续光谱曲线优势.文章在借鉴当前主流植被指数计算方法基础上,结合植被的光谱曲线特征,提出了一种基于综合吸收能力的植被指数计算方法(VSAI).具体方法是运用植被光谱曲线在绿、红、红外波段范围内的曲线拐点所形成曲面的形状与面积,与样本之间的相似关系,进行植被存在性与郁闭度评估.结果表明,该方法计算出来的指数能较好的反应植被信息,有较好层次.
[Abstract]:Vegetation index has always been an important method to study vegetation in remote sensing technology. At present, most of the main methods are based on the combination calculation of typical bands in remote sensing data.With the wide application of hyperspectral remote sensing, the application of simple band combination calculation to hyperspectral remote sensing data is not ideal. The method of vegetation index calculation needs to make full use of the advantage of continuous spectral curve on the basis of traditional methods.Based on the main methods of vegetation index calculation and the spectral curve characteristics of vegetation, a new method of vegetation index calculation based on comprehensive absorption capacity is proposed in this paper.The specific method is to evaluate the vegetation existence and canopy density by using the shape and area of the curved surface formed by the curve inflection points in the green, red and infrared bands, and the similar relationship between the vegetation spectral curves and the samples.The results show that the index calculated by this method can well reflect the vegetation information and has a better level.
【作者单位】：成都理工大学管理科学学院;地球探测与信息技术教育部重点实验室(成都理工大学);
【基金】：国家重点研发计划项目(2016YFB0502603) 中国博士后科学基金项目(2012M521717) 四川省科技支撑计划项目(2015SZ0198)联合资助
【分类号】：Q948;TP79

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