On studying image classification fusion, improved nerve net(NN) is used to classify the original SAR image and fuse the pre-classified SAR image. On studying integrated evaluating technique of fusion approach, performance evaluation of image fusion is presented.
在图像的分类融合技术研究中，利用改进的BP神经网络，对源图像进行融合前的预分类，之后按照分类融合规则融合源图像的分类结果。
参考来源 - 多波段SAR图像数据融合技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
针对矢量图形的版权保护问题，提出了一种基于SVM分类融合的多矢量曲线水印检测方法。
In order to protect the copyright of the vector graphics, in this paper we introduce a fusion rule for watermark detection of vector curves using SVM classification.
从基于象素的SAR图象分类和基于邻域的SAR图象分类特点出发，提出了一种基于边缘检测的SAR图象分类融合方法。
From the characteristic of SAR image classifications based on pixel level and region level, this paper provides a fusion method for SAR image classifications based on edge-detection.
实验结果表明，应用基于改进的自组织映射网络模型进行融合，分类融合结果较好，较基于基本自组织映射网络的影像融合分类精度提高约8%。
The result shows that the fusion image using the modified Kohonen networks in better than that using the Kohonen networks only, and the classification accuracy is improved about 8 percent.
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