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文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
并根据小波变换在噪声滤除及数据压缩方面的优势，选取小波变换对光谱数据进行滤噪和初步压缩。
For the advantage of wavelet transform in denoising and data compression, we choose wavelet transform to denoise and compress the data of Near-infrared spectra.
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