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概率松驰法在提高遥感图像分类精度中的应用
引用本文:潘时祥 ,朱述龙.概率松驰法在提高遥感图像分类精度中的应用[J].测绘学院学报,1993(3).
作者姓名:潘时祥  朱述龙
摘    要:本文阐述了概率松驰法的基本原理;着重讲座了把它用作子空间法后处理过程的情况下初始概率和相关系数的估计问题。实验表明:概率松驰法可以进一步提高识别结果的准确度,同时可以消除一些噪声的影响。

关 键 词:概率松驰法  相关单数  初始概率

The Application of Probabilistic Relaxation to Improvement of Accuracy of Remotely-Sensed Image Classification
Pan Shixiang Zhu Shulong.The Application of Probabilistic Relaxation to Improvement of Accuracy of Remotely-Sensed Image Classification[J].Journal of Institute of Surveying and Mapping,1993(3).
Authors:Pan Shixiang Zhu Shulong
Institution:Pan Shixiang Zhu Shulong
Abstract:This paper develops in detail the principle of probabilistic relaxation and puts emphasis on the problem of estimating initial probabilities and correlative coefficients when it is used as the postprocessing of subspace pattern recognition. Experiment shows that probabilistic relaxation can improve accuracy of image classification and remove some noises.
Keywords:Probabilistic relaxation  Correlative coefficient  Initial probability  
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