Using radial base function (RBF) artificial neural network and multi-source remote sensing imagery, the status of soil salinization in an area of north china is studied with satisfactory results.

文章应用径向基（RBF）人工神经网络，结合多源遥感影像对北方某地区耕地土壤盐渍化状况进行调查研究，取得了满意的效果。

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However, with the blowup of multi-source and large region covering ocean remote sensing data, there are still many difficulties in fast and automatic extraction of spatial information of ocean eddies.

但面对日益增长的多源、大面积海洋遥感数据，在快速自动化提取海洋涡旋的空间信息方面还存在很多难题。

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Problems to be resolved and future direction of multi-source remote sensing data fusion are put forward.

最后分析了多源遥感数据融合尚待解决的问题及努力方向。

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