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
The experimental results show that high correct classification rate and good tolerance to noise interference can be achieved for fusion recognition.
实验结果表明，该方法具有数据正确分类率高和抗噪能力强等优点，有效地实现了融合识别。
In this paper, the classification of data fusion and application merits of dissimilar-sensor data fusion are discussed at first.
首先介绍了数据融合的分类和异类传感器数据融合的应用优点。
Remote sensing image classification is an important means for quantified remote sensing image analysis, and remote sensing image fusion can effectively improve the accuracy of image classification.
遥感影像分类是遥感定量化分析的重要手段，遥感影像融合是提高分类正确率的有效途径之一。
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