应用松弛法改善遥感图象的分类精度
Improvements of Remote Sensed Imagery Classification Accuracy by Relaxation Technique
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摘要: 本文采用ISODATA无监督分类法及最小距离和最大似然监督分类法对遥感图象进行分 类,并用松弛法进行后处理,克服了噪声引起的误差,提高了分类的精度.Abstract: The classification of remote sensed imagery by ISODATA unsupervised method,minimum distance and maximum likelihood supervised methods are discussed in this article. And by means of relaxation technique, the noise effect and the classification accuracy can be improved
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