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条带噪声是影响MODIS遥感影像质量和反演精度的一个重要因子。
Stripe noise is one of the important factors which degrade the quality and affect the retrieval precision of MODIS images.
在最小二乘反演中，加入体积因子以解决多解性问题，并提高了反演精度；
Using volume-gene in least-squares can ensure stability of iterative process and improve precision of inversion.
理论和实际资料的处理表明，这种反演方法具有收敛速度快、反演精度较高、适应能力较强的特点。
Theoretical and practical data show that this inversion technique is characterized by quick convergence rate, high inversion precision and high capacity of accomodation.
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