光谱遥感数据波形分析法的应用

THE APPLICATION OF WAVEFORM ANALYSIS ALGORITHM TO THE PROCESSING OF REMOTELY SENSED SPECTRAL DATA

本文利用傅立叶波形分析算法处理了光谱反射率数据,把不同地物的光谱分解为特征意义明确,信息内涵丰富,对各种地物可分辨性强的各次谐波分量。诸谐波分量的参数——波幅和初相唯一地决定了其对光谱曲线的贡献和构形位置。试验表明傅立叶波形分析算法可以成为处理各种成像光谱仪获取的超维图像的有效工具。

The Fourier waveform analysis algorithm is applied to the computer processing of spectral reflectance data. The spectra for different landcovers are decomposed into wave components of different orders, which have definite features and bear useful information contents. The amplitude and phase of each wave component solely determine its contribution to the overall waveform of spectra. The study reveals that the Fourier waveform analysis algorithm is capable of processing the hyperspectral image data acquired by imaging spectrometers such as AIS andAVIRIS.