基于光谱曲线小波系数分维测度的高光谱影像高效分割方法

针对高光谱遥感影像处理效率的问题,提出了一种基于高光谱曲线小波分解低频系数分维特征影像和高频系数分维特征影像相结合的高光谱遥感影像分割方法。对高光谱响应曲线的分形测度进行了分析,提出基于光谱曲线小波分解高频系数的分维算法,得到多尺度高光谱分形特征影像。设计了低频系数分维特征影像和高频系数分维特征影像相结合的高光谱影像分割算法。高光谱曲线小波系数分维特征影像分割实验结果表明:该算法可取得与光谱曲线直接分形测度特征影像分割一致结果,但效率优于直接分维特征影像分割。

Hyperspectral Images Segment Algorithm based on Fractal Measurement with Wavelet Coefficient of Spectral Response Curve

Hyperspectral images segment algorithm is proposed through fractal feature image of original spectrum curve and high-frequency coefficients from spectrum curve wavelet decomposition.Fractal measurement of hyper spectrum curve is analyzed.A fractal dimension calculation algorithm with high-frequency coefficients is proposed to obtain multiple scale fractal feature images.A flow chart of hyperspectral image segment combined feature images with the wavelet coefficient of spectral response curve that is designed.Experiment results of provided hyperspectral images segment algorithm show that it can obtain the same image segment result but the higher efficiency is better than the direct fractal dimension feature image of spectral response curve.