《Table 2 Comparison of the segmentation results for the four different methods》

《Table 2 Comparison of the segmentation results for the four different methods》   提示：宽带有限、当前游客访问压缩模式
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《量子遥感图像数据分割算法研究》


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Based on the basic principle of maximum entropy image segmentation，a multi-threshold image segmentation method based on adaptive maximum entropy has been developed.To improve the multi-threshold solving efficiency，this study applied QGA as an RS image segmentation method to determine the optimal threshold combination.This reduced the complexity of programming and improved the accuracy and robustness of multi-threshold image segmentation results.To avoid generating invalid multi-threshold solutions in the improved QGA，the study used an efficient coding method for binary value solutions[22]，and then defined an adaptive rotation angle when using quantum rotation gates.The results showed that the multi-threshold image segmentation method could better segment the target in an image than the traditional segmentation algorithm and more image information was retained for the same number of segmentation thresholds.

图表编号XD00110301500    严禁用于非法目的
绘制时间2019.03.25
作者毕思文、饶思威
绘制单位中国科学院遥感与数字地球研究所遥感科学国家重点实验室、中国科学院遥感与数字地球研究所遥感科学国家重点实验室
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