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给出了一种新的图像信息量的表述方法,提出了五种基于信息熵的科学分割遥感图像的改进方法。用MATLAB对这些算法进行了实验仿真,并进行了算法性能优化。得出了各种不同算法的最佳阈值和耗时,并对它们进行了比较和分析。实验数据表明,新算法较以往的算法在分割效果和速度上都有明显的改善和提高。
A new representation method of image information is given, and five improved methods of scientific segmentation of remote sensing image based on information entropy are proposed. Experiments on these algorithms are carried out by MATLAB, and the algorithm performance is optimized. The best thresholds and time-consuming for various algorithms are derived, and they are compared and analyzed. Experimental data show that the new algorithm has obvious improvement and improvement in the segmentation effect and speed compared with the previous algorithms.