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1)  remote sensing image segmentation
遥感影像分割
2)  High-Resolution Remote Sensing Image Segmentation
高分辨率遥感影像分割
1.
Research of Agglomerative Hierarchical Clustering Method Based High-Resolution Remote Sensing Image Segmentation Method;
基于凝聚层次聚类的高分辨率遥感影像分割算法研究
3)  Remote sensing image segmentation
遥感图像分割
1.
Remote sensing image segmentation is not only the key implementation step for understanding remote sensing image but also a comprehensive study of the subject which across the image processing, pattern recognition, computer vision, neural network and other areas of multidisciplinary research.
遥感图像分割是实现遥感图像理解关键的一步,是一个跨越图像处理、模式识别、计算机视觉、神经网络等多学科研究领域的综合性研究课题,有着广阔的应用前景,近年来受到人们普遍重视。
2.
In response to these problems,by combining evolving clustering(ECM) with FCM algorithm,put forward a new method of remote sensing image segmentation.
针对上述问题,结合进化聚类(ECM)和FCM算法,提出了一种遥感图像分割的新方法。
4)  multi-scale segmentation method of remote sensing image
遥感影像多尺度分割方法
5)  classification of remote sensing image
遥感影像分类
1.
The spatial information of the image and evidence theory is applied to classification of remote sensing image based on neural networks.
把影像的空间信息融入分类决策 ,提出了一种基于证据理论与神经网络的遥感影像分类方法。
2.
Auto-classification of remote sensing image is the concrete application of patternrecognition technique in remote sensing technique territory.
网络训练和遥感影像分类结果表明改进后的网络易收敛且性能稳定,分类精度较高,有实际应用价值。
3.
This paper describes the problem in the BP neural network approach and the approach of BP neural network based on vector information to the classification of remote sensing images.
由于传统遥感影像分类方法存在不足,因而采用神经网络算法进行遥感影像分类研究。
6)  Remote sensing image analysis
遥感影像分析
补充资料:Dedekind分割


Dedekind分割
Dedekind cut

  D日加脑目分割[D汕如目cut;皿e八eKou皿。即ee,e。。e],分割(cut) 把实数集R(或有理数集Q)分割成两个非空集合A和B,其并为R(或Q),并使得对任何a6A和be及都有a  
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