This paper develops an approach to pre-process high-resolution remote sensing image that is used to extract linear target.
提出了一种从高分辨率遥感影像中提取线性目标时影像预处理的方法。
The results showed that the extraction of mining subsiding land from the High-resolution Remote Sensing Image is a kind of quickly and efficiently method.
研究结果表明，高分辨率遥感图像应用于采矿塌陷地的提取是一种快速高效的方法。
High-resolution remote sensing technology is applied in the field of military and civilian, image registration technique is high-resolution remote sensing image pre-processing technology.
高分辨遥感技术在军民领域应用广泛，图像配准技术是高分辨遥感图像的预处理技术。
Thus, some scholars use object-oriented information extraction technology to classify the remote sensing image, greatly increased the accuracy of high-resolution remote sensing image classification.
于是，有些学者将面向对象信息提取技术运用到遥感影像的分类中，大大提高了高分辨率遥感影像的分类精度。
The result indicated that the method adopted has good utility on extraction urban green space information from high resolution remote sensing image.
结果表明所采取的方法在高分辨率遥感影像的城市绿地信息的提取上具有很好的应用性。
The experimental result indicated this algorithm can complete the wide range, the high resolution remote sensing image texture mapping highly effectively.
实验结果表明，该算法可高效地完成大范围、高分辨率遥感图像纹理的映射。
It is an important problem for city's remote sensing application to research extracting green-land from high resolution IKONOS image automatic.
研究高分辨率遥感城市绿地信息自动提取技术是城市遥感技术应用亟待解决的问题之一。
A new method for high resolution remote sensing image rectification and geodetic location is proposed.
该文提出高分辨率遥感影像纠正和绝对(大地)定位的一种新方法。
In the high resolution remote sensing image, the details of objections are more clear than TM and MSS images, showing great texture and structure information.
在高分辨率卫星影像中，目标地物的细节比TM和MSS影像更为清晰，呈现出大量的纹理与结构信息。
Study the object-oriented classification technology of high resolution remote sensing image.
研究了面向对象高分辨遥感图像分类技术。
Spatial resolution of remote sensing fused image is usually the spatial resolution of high spatial resolution image which is not the real spatial resolution of the fused image.
提出了一种利用多分辨率图像模板库来定量确定遥感融合图像真实空间分辨率的方法。
The edge extraction of the remote sensing image of high resolution is the important research area of city remote sensing information extraction.
高分辨率遥感图像的边缘提取是当前城市遥感的重要研究领域。
Abstract: the scene information existing in high resolution remote sensing images is important for image interpretation and understanding of the real world.
摘要：高解析度遥感影像中的场景资讯，对于影像解译和现实世界的理解具有重要意义。
The applications of high resolution remote sensing images have provided more possibility and higher accuracy for the object extraction from remote image.
高分辨率卫星影像的应用，为遥感影像的目标提取提供了更大的可能性和更高的准确性。
Image structure information, such as edges and texture, is robust to the illumination change and is the main characteristic of man-made object in high resolution remote sensing imagery.
图像结构信息，如图像的边缘、纹理等，是图像特征的一种，结构信息不易受照度变化的影响，同时是高分辨率遥感图像中的人造目标特性的主要表现形式。
Synthetic aperture radar (SAR) which is a high resolution coherent radar is a significant space remote sensing method, and the resolution of SAR image determines its further application.
合成孔径雷达(SAR)是一种高分辨率相干成像雷达，是重要的空间遥感手段，分辨率的高低直接决定了其应用效果的优劣。
For high-resolution multi-spectral remote sensing image characteristics, the paper introduces a number of commonly used image processing techniques and proposes the improved wavelet fusion algorithm.
针对高分辨率多光谱遥感影像的特点，介绍了常用的一些图像处理技术，提出了改进的小波融合算法。
This article discusses the method of using Wavelet Transform and Mathematics Morphologic Subject to extract the canal of the area objects on the high resolution remote sensing image.
利用小波变换和数学形态学的方法对高分辨率遥感影像的面状地物居民地进行识别提取。
Being one of the important factors responsible for image quality, the band to band registration error of high resolution imagery affects considerably the application precision of remote sensing.
高分辨率遥感影像波段间配准误差是影响影像质量及其应用精度的重要因素之一。
The Research of Sample Extraction and Image Sample Database for High Resolution Remote Sensing Image;
研究了提高光学仪器与雷达系统的分辨本领的理论与方法。
The Research of Sample Extraction and Image Sample Database for High Resolution Remote Sensing Image;
研究了提高光学仪器与雷达系统的分辨本领的理论与方法。
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