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- Application of Kohonen Network in RS Image Classification Kohonen神经网络在遥感影像分类中的应用研究
- Application of stratum sampling to classification of RS image. 应用分层采样技术进行大面积遥感图像分类的研究
- RS Image classification 遥感影像分类
- This paper states the common classification methods of RS image and their application,points out the future development tendency of RS classification method. 论述了目前在遥感领域常用的遥感图象分类方法及其应用,指出了未来遥感图象分类方法的发展趋势。
- Select suitable RS image to process recovering and strengthen on image. 选择合适的遥感图像进行图像恢复和增强处理。
- SOM algorism is implemented in the C++ program.It's used for human face image classification. 这个C++语言写的程序实现了SOM算法,用于人脸图像的分类。
- This paper presented a method of image classification using wavelet based on shape and texture. 摘要提出一种基于小波的形状和纹理联合特征的图像分类方法。
- How to efficiently combine different textural features in order to get high performance is the study focus of the SAR image classification currently. 如何将不同纹理特征结合起来;以获得应用范围更广且分类效果更好的SAR图像分类方法;是当前SAR图像处理研究中的一个热点问题.
- In this paper experiments of image segmentation on Quaternary strata are made on RS image by morphologic methods. 摘要利用数学形态学的方法对遥感影像的第四系地层进行了影像分割实验。
- The test shows that multi-scale Lempel-Ziv complexity can be used as an image classification method or as a feature of image classifier. 该结果说明:不同尺度下复杂性的差异可以作为图像分类的新方法或者作为现有分类器的特征.
- This paper introduces the theory and algorithm process of the ACO for mining classification rules applied to remote sensing image classification. 介绍了将蚁群优化分类规则挖掘算法应用到遥感图像分类研究领域的理论与算法流程。
- Although the interpretation and draughting history of the RS image has been for one and a half century, it developed very slowly. 虽然遥感图像判绘技术已有一个半世纪的历史,但是判绘的基本方法则发展较为缓慢。
- For this study, high resolution satellite image classification using segmentation technique and knowledge-base system is applicable. 在高解析卫星影像分类中,使用影像分割方法进行分析是合适的。
- By applying Fuzzy Mathematics theory, the DGM was used to correct the digital image classification result, so as to create the regional landuse model. 并在模糊数学理论的指导下,运用数字地貌模型对影象的分层分类结果进行修正和细化。
- The main problem of remote sensing image classification is the contradiction of classification precision and algorithm complexity,and algorithm lacking of robust. 目前遥感图像分类算法面临的主要问题是分类精度与算法复杂度的矛盾及算法缺乏鲁棒性。
- Results Two groups were formed according to image classification, including asymptomatic lacuna cerebral infarction (90.05%) and asymptomatic micro-infarction (9.5%). 结果影像学改变分为两类:一类是无症状性腔隙性脑梗死,占90.;05%25;
- Using RS images, land use/ cover can be inspected rapidly, accurately and in time. 利用遥感图像动态监测土地利用/地覆盖状况具有快速、确、时的特点。
- Experimental results show that the approach can enhance the discriminability of each signature and thus improve the performance of image classification. 实验结果显示这一算法能够增强特征向量的区分度,进而提高图片分类的性能。
- Based on IHS transform, PCA transform, wavelet transform, three types of arithmetic for multi-resource RS images fusion are realized. 研究了两种组合融合算法(IHS变换、小波变换组合以及PCA变换、小波变换组合);
- In the conventional remote sensing image classification,supervised and unsupervised classification are two main ways classified according to the statistics of the spectrum. 在常规的遥感图像分类中,监督分类和非监督分类是两种主要的方法,是按照光谱的统计特性进行分类的。