图像分类是高光谱遥感图像分析与应用的重要手段。
Classification is an important means for analysis and application of hyperspectral images.
结果：提出了基于面向对象遥感图像分析法的遥感影像信息挖掘方法。
Result: a method of remote sensing image mining basing object-oriented image analysis is presented.
分类是遥感图像分析处理的一个重要环节，它是各种高级应用的基本前提。
Classification is an important step in remote sensing image processing, it is often the base of other advance applications.
现在对于纹理图像的分析和分类广泛用于瑕疵定位、景物识别、图像检索、遥感图像分析等多个领域。
Nowadays, texture image analysis and classification is widely used in blemish locate, object recognize, image search, remote sensing image analysis and other fields.
图像匹配作为计算机视觉中的一项基本和重要的技术，在导航制导、工业检测、遥感图像分析等领域都有广泛的应用。
As an elementary and important technology of computer vision, image matching is widely used in navigation, industrial inspection, remote sensing image analysis etc.
主要用于激光加工机、激光通讯、激光雷达、激光图像遥感、激光干扰、声光频谱分析等领域，产品已得到广泛应用。
Mostly design to laser machine, laser communication, lidar, laser image remote sensing, laser jamming, acousto-optic spectral analysis region, product had been able to extensive use.
本文采取遥感图像光学增强、地学分析和历史资料论证的方法，研究了太原断陷盆地古湖泊的演变与生态环境的变化。
In this paper evolution of ancient lake in Taiyuan basin and changes of ecological environment were studied by optical enhancement of remote sensing image, geoscience analysis and historical records.
超谱遥感图像的分类研究对农作物生长状况的监测、矿物的识别、海洋水色分析以及其他方面的许多应用都是很有价值的。
The study on the hyperspectral image classification is valuable to crop growth monitoring, mineral identification and seawater analysis as well as many other useful aspects.
文中在分析传统的去噪处理算法和自适应中值滤波算法的（AMF）基础上，提出了一种自适应加权的遥感图像去噪滤波方法。
In this paper, based on the analysis of the usual smoothing filter and adaptive median filter (AMF), a novel adaptive, weighting filter (AWF)scheme for RS image denoising is presented.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
第五章为本次分类实验的具体方法和结果，展示了遥感图像分类的全过程，并分析不同分类方法的分类效果；
The fifth is concrete methods and results exhibiting the whole process of RS image classification and analyzing the efficiency of different classification methods.
在遥感图像中，分形方法提供了一种描述和分析不同地理特征复杂度的方法。
Fractal geometry provides a means of describing and analyzing the complexity of different geographical features in remotely sensed images.
对于提高图像专题分析的技术水平，快速及时地提供资料，以及促进遥感与地理信息系统的结合进行了探索。
This is an instructive research which will improve the technical level of thematic analysis, provide quick and timely data and accelerate the combination of remote sensing with GIS.
图像配准是图像处理的一个基础问题，它广泛应用于计算机视觉、模式识别、医学图像分析、遥感数据分析等领域。
Image registration is a foundation problem in image processing. It is widely used in computer vision, pattern recognition, medical image analysis and remote sensing image analysis.
针对卫星遥感图像中的云探测问题，提出了一种有效的纹理特征分析方法。
A valid texture feature analytical method is proposed to detect cloud in satellite remote sensing image.
最后通过利用ERSSAR数据和TM影像进行融合分析，证明该方法在遥感图像自动分类中有很好的应用前景。
At the end, it is demonstrated that evidential reasoning has extensive applications in the classification of remote sensing images through the fusion analysis of ERS SAR and TM image.
并结合地震、地质资料，以及岩石吸附烃分析和图像处理结果，对该地区的天然气遥感勘探进行了讨论。
On such a basis, with a combination of seismic and geological data and images processing techniques, the application of remote sensing on natural gas exploration were dis- cussed.
图像融合技术已广泛应用于遥感影像分析、机器视觉、医疗诊断、目标识别等领域。
Image fusion technology has been widely used in remote sensing image analysis, machine vision, medical diagnostics, target identification and other fields.
遥感影像特征分析是影像融合和解译的基础，而对遥感数据源各个波段进行定量分析是图像融合的前提。
Statistical characteristic analysis of remote sensing image is fundamental to image fusion and interpretation, and the quantitative analysis of each band is the premise of image fusion.
图像融合技术在遥感、医学、自然资源勘探、海洋资源管理、地形地貌分析、生物学等领域占有极其重要的地位。
Image fusion technology occupies important places in the fields of remote sensing, medicine, natural resource exploration, Marine resource management, terrain landform analysis and biology.
在灰值形态学梯度算法和多方位形态结构元素形态学理论分析基础上，提出了提取遥感图像边缘信息的新方法。
Based on morphology grads algorithms and multi-direction morphology structure element of mathematical morphology theory, this paper presents a new method for remote sensing image edge detection.
高光谱分辨率遥感数据以其丰富的光谱信息使得其分析处理集中于光谱维上进行图像信息的展开和定量分析。
We study on the image information and quantitative analysis focusing on the spectral dimension because the hyperspectral data has the abundant spectral information.
小波分析和傅立叶分析被广泛地应用于图像处理的各个领域，它们也能被应用于遥感影像土地利用变化检测。
Wavelet and Fourier analyses are widely used in various fields of image processing. They can be utilized in land use remote sensing dynamic monitoring to detect change information automatically.
海量遥感图像快速处理是遥感图像处理与分析的重要任务之一，它既是数据密集型，也是计算密集型的工作。
Huge quantity remote sensing image processing is one of the important tasks of remote sensing image processing and analysis, it is not only data intensive work, but also computation intensive work.
遥感分类是主要的遥感数据分析方法，是遥感图像处理中的一个非常重要研究内容。
Remote sensing classification is the main method of the analysis of remote sensing data and very important research content in remote sensing image procession.
本论文分析和比较了多种遥感图像的定位方法后，指出了距离—多普勒(R - D)定位原理作为SAR图像象素绝对定位模型的优势。
After comparison of several location methods of remote sensing image, Range-Doppler (R-D) theory is proved to have advantages as the footstone of pixel location model of SAR image.
基于图像光谱信息特征分析，确定了用于贵阳市土地利用变化遥感图像分类的最佳波段组合。
Based on analyzing characteristic of spectrum, the optimum combination of bands has been established for TM image classifying to research on land-use variation in Guiyang city.
本文以小波分析、不变矩等数学理论和遥感图像边缘检测技术为研究背景，较深入地进行了遥感图像多尺度边缘分割的方法研究。
This dissertation has studied the segmentation method of remote sensing image based on multiscale edge, based on wavelet, invariant moment and the edge detection technique of remote sensing image.
本文以小波分析、不变矩等数学理论和遥感图像边缘检测技术为研究背景，较深入地进行了遥感图像多尺度边缘分割的方法研究。
This dissertation has studied the segmentation method of remote sensing image based on multiscale edge, based on wavelet, invariant moment and the edge detection technique of remote sensing image.
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