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1)  remote sensing image classification
遥感图象分类
1.
Experimental results show that radial basis function neural network classifier can be applied in remote sensing image classification through network learning.
针对遥感图象分类的特点,提出了一种径向基函数神经网络的遥感图象分类器。
2)  Multisource remote sensing image classification
多源遥感图象分类
3)  RS classified map
遥感分类图
1.
An approach of vectorization of RS classified map
一种遥感分类图的矢量化方法
4)  remote sensing image classification
遥感图像分类
1.
Research on remote sensing image classification using Ant Colony Optimization(ACO) based classification rule mining algorithm;
基于蚁群优化分类规则挖掘的遥感图像分类研究
2.
Application of Support Vector Machine and Fuzzy Theory for Remote Sensing Image Classification;
支持向量机和模糊理论在遥感图像分类中的应用
3.
The supervised learning algorithm was usually used for remote sensing image classification,but its training samples need to be chosen by manual,which was boring and sometimes even difficult.
遥感图像分类方法通常采用监督的学习算法,它需要人工选取训练样本,比较繁琐,而且有时很难得到;而非监督学习算法的分类精度通常很难令人满意。
5)  Classification of the Remote Image
遥感图像的分类
6)  Remote sensing image
遥感图象
1.
Research of remote sensing image processing and information extraction method;
遥感图象处理与信息提取方法的研究
2.
The ECW has significant advantages in remote sensing image compression/decompression over JPEG and MrSID.
本文对基于离散小波变换的ECW技术进行了深入的探讨,通过ECW与JPEG技术以及Mr SID技术的比较,全面显示了ECW技术在遥感图象压缩方面的显著特点和在GIS中的应用优势,并介绍了在GIS中集成ECW技术的方法。
补充资料:长城鸟瞰图(遥感技术拍摄的长城雄姿)


长城鸟瞰图(遥感技术拍摄的长城雄姿)


长城鸟瞰图(遥感技术拍摄的长城雄姿) 《中华文明大图集》
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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