一种基于综合吸收能力的高光谱遥感植被指数计算方法

Method of vegetation index assessed by the absorption ability to electromagnetic energy based on hyperspectral remote sensing

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.

Vegetation index has been an important method for the study of vegetation in the field of remote sensing technology.At present,calculations based on typical bands of remote sensing data are main methods.With the widely application of hyperspectral remote sensing,the index calculated with simple band combination is unsatisfactory,and the advantages of continuous spectrum curve should be exploited from study of traditional methods.Summing up the calculation methods of the current mainstream vegetation index,this paper presents a method for calculating the vegetation index based on the integrated absorption capability（VSAI）.The proposed method calculate the shape feature and area of surface,which is shaped from Spectral curve of green band to infrared band,and Evaluating of vegetation information by comparingsimilarities between pixels and sample.The results show that the index calculated by this method can better reflect the vegetation information,and it is distinct.