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   城市地物 在 工业通用技术及设备 分类中 的翻译结果: 查询用时:0.063秒
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城市地物
相关语句
  urban targets
    In addition, the classification of new spectra resampled by 25 bands window shows that new spectra holding main spectral characteristics can basically identify urban targets.
    通过神经网络分类,证明25通道下的新波谱保留了城市地物的反射特征和地物之间的基本可分性。
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  “城市地物”译为未确定词的双语例句
    STUDY OF IMPROVING ACCURACY FOR URBAN LANDCOVER MODE RECOGNITION BY USING STRUCTURE INFORMATION OF SATELLITE IMAGE
    利用卫星图像结构信息提高城市地物模式识别精度的研究
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    The classification and measuring procedure for geometrical objects of a city will be simplified if its main road network could be automatically extracted from aerial remote sensing images.
    如果能自动地从航空遥感图像中提取出道路网 ,将会简化城市地物目标的分类和测量过程 .
短句来源
    Classification and Bands Window Division on Reflectance Spectra of Urban Area
    城市地物反射波谱分类及其通道窗口研究
短句来源
    By using the ample spatial structural information contained in the high spatial resolution data and the fine spectral information contained in the hyperspectral data, a classification method based on edge detection and spectral analysis of the image was explored to classify the urban cover types on the per block bases.
    利用高空间分辨率数据丰富的空间信息 ,以及高光谱分辨率数据丰富的光谱信息 ,提出了基于图像边缘检测和光谱分析的新型高光谱遥感图像分类方法 ,对城市地物覆盖以图斑为单位进行分类。
短句来源
    As a kind of base geographical information,road extraction from satellite images is important in practice a theory of automatic satellite images recognition. The classification and measuring for geometrical objects of a city will be simplified if its main road network could be automatically extracted from satellite images.
    道路信息是遥感卫星影像中一种重要的地理专题信息,道路信息的提取在卫星数字图像自动解译方面具有理论与方法意义,如果能自动地从遥感卫星影像中提取出道路网,将会简化城市地物目标的分类和测量过程。
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An experiment fleight was made by pushbroom hyperspectral imager PHI in Shahe, Beijng during June, 1997. The main aim was to study the key technology of urban land use and construct classification by using hyperspectral technology. By analyzing the acquired 15 bands visible near infrared data, we try to classify the urban manmade objects through the analysis of the spectral signatures. Because of the complexity of the spectral features of urban manmade objects, it is difficult to recognize the diffrent classes...

An experiment fleight was made by pushbroom hyperspectral imager PHI in Shahe, Beijng during June, 1997. The main aim was to study the key technology of urban land use and construct classification by using hyperspectral technology. By analyzing the acquired 15 bands visible near infrared data, we try to classify the urban manmade objects through the analysis of the spectral signatures. Because of the complexity of the spectral features of urban manmade objects, it is difficult to recognize the diffrent classes by traditional classification algorithm. Based on the analysis of the spectral features, we proffer a strategy of classification that calssify the classes by composite algoritnm hierarchically. The result states itself that this method performs better than the familiar method.

1997 年6 月利用PHI推帚式成像光谱仪在北京市沙河镇进行了飞行实验,其主要目的是成像光谱技术应用于城市用地和建筑物分类中关键技术研究。对所获取的15 个波段的可见光- 近红外数据进行了分析与处理,试图通过对地面覆盖物质的光谱响应特征的分析来进行城市人工目标的识别与分类。由于城市地物的光谱特征异常复杂,难于应用一般的模式分类算法分离出所有的类型,本文在对地面覆盖类型光谱响应分析的基础上,采用分层复合分类的方法,逐步将不同的地物类型分离开来,实验证明是非常有效的

The classification and measuring procedure for geometrical objects of a city will be simplified if its main road network could be automatically extracted from aerial remote sensing images. In this paper, an automatic approach for extracting main city roads based on straight lines is developed, in which main city roads are modeled according to their characteristics in the image. The new method puts emphases on dealing with all kinds of noise from the imaging process, and uses Gaussian distribution to blur parameters...

The classification and measuring procedure for geometrical objects of a city will be simplified if its main road network could be automatically extracted from aerial remote sensing images. In this paper, an automatic approach for extracting main city roads based on straight lines is developed, in which main city roads are modeled according to their characteristics in the image. The new method puts emphases on dealing with all kinds of noise from the imaging process, and uses Gaussian distribution to blur parameters of straight lines in order to ensure extraction robustness. All parameters of this method are acquired by theoretic analysis so that the extraction process is automatic. The experimental results show that the main road network can be extracted from real aerial remote sensing images.

如果能自动地从航空遥感图像中提取出道路网 ,将会简化城市地物目标的分类和测量过程 .该文根据城市主要道路在图像中的特性进行了模型化处理 ,进而提出了基于直线的、自动提取的方法 .算法重点考虑到成像过程中必然引入的各种噪声 ,用高斯分布函数模糊化直线参数 ,使提取具有良好的稳健性 .算法中的参数选择都是通过理论分析所得 ,因此 ,提取过程实现了自动化 .实验结果表明 ,该方法能够从实际航空遥感图像中提取出主要道路网

This paper studies the urban environment using remote sensing data with high spatial resolution airphotos and hyperspectral data. By using the ample spatial structural information contained in the high spatial resolution data and the fine spectral information contained in the hyperspectral data, a classification method based on edge detection and spectral analysis of the image was explored to classify the urban cover types on the per block bases. The result indicates that this method is effective for the study...

This paper studies the urban environment using remote sensing data with high spatial resolution airphotos and hyperspectral data. By using the ample spatial structural information contained in the high spatial resolution data and the fine spectral information contained in the hyperspectral data, a classification method based on edge detection and spectral analysis of the image was explored to classify the urban cover types on the per block bases. The result indicates that this method is effective for the study of whole urban environment.

采用高空间分辨率的航片与高光谱数据对城市进行遥感研究。利用高空间分辨率数据丰富的空间信息 ,以及高光谱分辨率数据丰富的光谱信息 ,提出了基于图像边缘检测和光谱分析的新型高光谱遥感图像分类方法 ,对城市地物覆盖以图斑为单位进行分类。从而证明对复杂的城市环境进行遥感研究 ,这种方法是有效的。

 
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