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remote sensing target
相关语句
  遥感目标
     The remote sensing targets(rocks) discussed in this paper are mainly for geological purpose, but the principle, procedures of data processing and computer programming may be adaptable to any type of remote sensing target in environment, natural resources, agriculture and forestry, marine and military fields,
     本文虽以地质学的主要遥感目标—岩石为例,但是原理、方法和计算机程序对环境、资源、农林、海洋和军事学科中的遥感目标也完全适用。
短句来源
     Under the condition of laboratory,gained polarizations of different groups of object,composed polarization image of them. The result shows: The gray's proportion of two objects approaches to 1 in the original image,but in the polarization image,it approaches to 2.Polarization image can be used to distinguish different objects,which can not be distinguished in ordinary image. It can be applied in Military Target Identification and Remote Sensing Target Identification.
     在实验室条件下,得到了几组不同物体表面各像点的偏振度,并获得了合成的偏振度图像,结果表明:在普通图像中灰度值之比约为1的两种物体,在偏振度图像中灰度值之比接近2.利用该偏振度图像可以区分普通图像难以区分的不同物体,可应用于军事目标识别与遥感目标识别领域.
短句来源
  遥感图像目标
     Recognition of Remote Sensing Target Based on Support Vector Machine
     基于支撑矢量机的遥感图像目标识别
短句来源
     Remote Sensing Target Recognition Based on SOM and SVM
     基于SOM和SVM的遥感图像目标识别
短句来源
     Remote Sensing Target Recognition Based on Organizational Coevolutionary Classification Algorithm
     基于组织协同进化分类算法的遥感图像目标识别
短句来源
  “remote sensing target”译为未确定词的双语例句
     Infrared Remote Sensing Target Classification Based on ANFIS and Subtractive Clustering
     基于ANFIS和减法聚类的遥感红外目标分选
短句来源
     Secondly, its scalability is tested by increasing the training data from 100 000 to 10 000 000. At last, the method is applied to two practical cases, radar target recognition and remote sensing target recognition, with satisfactory results.
     最后,将算法应用于两个实际问题——雷达一维像识别和遥感舰船目标识别,获得了良好的效果。
短句来源
     The restoration technique for images captured in bad weather conditions can be found great applications in many fields such as Remote Sensing, target recognition, traffic navigation and military affairs, etc.
     恶劣天气下拍摄到的退化图像的复原技术,可应用于遥感、目标识别、交通导航及军事等多个领域。
短句来源
     The simulation of infrared remote sensing target classification based on ANFIS and subtractive clustering proves that the algorithm can efficiently and accurately classify targets.
     基于ANFIS的红外航母和大型舰船目标分选仿真实验证明,其学习速度快、目标分选准确。
短句来源
  相似匹配句对
     Remote Sensing Archaeology
     遥感考古——探索人类文化遗产的新手段
短句来源
     Remote Sensing in Forestry
     林业遥感
短句来源
     N TARGET
     命中目标
短句来源
     Target Compounds:
     目标化合物:
短句来源
     principle and target;
     原则和目标;
短句来源
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Selecting the optimum remote sensing spectral intervals is an important problem in the study of remote sensing spectroscopy and multispectral remote sensing technique.A relatively strict statistical method of selecting optimum remote sensing spectral intervals is described in the paper , and the details of its principle, computation procedures and application have been given as well. Major carbonate rocks from Guilin Region have been taken to exemplify the concrete...

Selecting the optimum remote sensing spectral intervals is an important problem in the study of remote sensing spectroscopy and multispectral remote sensing technique.A relatively strict statistical method of selecting optimum remote sensing spectral intervals is described in the paper , and the details of its principle, computation procedures and application have been given as well. Major carbonate rocks from Guilin Region have been taken to exemplify the concrete effectiveness of the method. The optimum remote sensing spectral intervals of these rocks against different backgrounds have been reached by using electronic computer. The combination of this new method based on the theory of probability statistics and electronic computer has shown its rapidity, accuracy and general purpose.The remote sensing targets(rocks) discussed in this paper are mainly for geological purpose, but the principle, procedures of data processing and computer programming may be adaptable to any type of remote sensing target in environment, natural resources, agriculture and forestry, marine and military fields,

最佳遥感波段的选择是遥感波谱学和多光谱遥感技术中的重要研究课题。本文介绍了一套比较严格的最佳遥感波段选择的概率统计方法,对原理、方法和实际应用均作了较详细的分析阐述。实际应用部分以桂林地区的主要碳酸盐岩为例,说明这种方法的具体应用效果,并用电子计算机算出了它们在不同背景条件下的最佳遥感波段。这种以概率统计理论为基础的新方法与电子计算机相结合,显示了快速、精确和通用的优点。本文虽以地质学的主要遥感目标—岩石为例,但是原理、方法和计算机程序对环境、资源、农林、海洋和军事学科中的遥感目标也完全适用。

An efficient method of remote sensing target recognition based on self-organizing map (SOM) neural network incorporating with support vector machines is proposed in this paper. Firstly, SOM is applied to cluster for the remote sensing target, then SVMs are used to classify each cluster. Finally, this method is used to recognize some binary remote sensing targets. Compared with SVM, the experiment results show that the method proposed will have better classification and recognition results for...

An efficient method of remote sensing target recognition based on self-organizing map (SOM) neural network incorporating with support vector machines is proposed in this paper. Firstly, SOM is applied to cluster for the remote sensing target, then SVMs are used to classify each cluster. Finally, this method is used to recognize some binary remote sensing targets. Compared with SVM, the experiment results show that the method proposed will have better classification and recognition results for the binary remote images, which only contains object and background, and the tranning time is shorter than that by using the support vector machines only.

提出了一种基于自组织特征映射 (SOM)神经网络和支撑矢量机 (SVM)相结合的遥感图像目标识别方法。该方法首先利用SOM对目标进行聚类 ,然后应用SVM方法对其进行分类识别。最后将该方法应用于二值遥感图像的目标识别 ,与仅用支撑矢量机方法的识别结果进行了比较 ,结果表明 ,这一方法对二值遥感图像目标具有很好的分类识别效果 ,且训练时间大幅度缩短。

An organizational coevolutionary classification algorithm is proposed for remote sensing target recognition. This

针对遥感图像目标识别问题,提出了一种基于组织协同进化分类算法的识别方法。它没有复杂的运算,训练和识别速度都很快。对实测遥感图像的实验表明,本文方法性能稳定,优于文献[3]和[4]中基于支撑矢量机的方法,识别率均达到了95%以上,且训练时间非常短,不到1秒钟。

 
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