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Remote Sensing Image Segmentation Based on and Cloud Model and Parallel Mechanism

机译:基于云模型和并行机制的遥感影像分割

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This paper discusses the uncertainty in remote sensing image segmentation by studying the uncertainty in cloud model, qualitative to quantitative conversion, proposed one way to study the image segmentation based on the combination of Parallel mechanism and cloud mode.Proved by experiments, this method can better describe the uncertainty of image target.It can quickly and accurately segment the target, the efficiency is far superior then the traditional image segmentation algorithms.
机译:本文通过研究云模型中的不确定性对定性定量转换进行了探讨,探讨了遥感图像分割中的不确定性,提出了一种基于并行机制和云模式相结合的图像分割研究方法。描述图像目标的不确定性。它可以快速,准确地对目标进行分割,其效率远远优于传统的图像分割算法。

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