This paper discusses emphatically image processing method, basin remote sensing geological characteristics the model of remote sensing geological uranium prospecting ore and prospecting prognosis.
本文重点论述了图像处理方法、盆地遥感地质特征、铀矿遥感地质找矿模式(判据)及远景预测等内容。
Remote sensing image is the image model of the crust surface, as well as an ideal prototype to establish a geological genetic model.
遥感图像是地壳表层的图像模型，是建立地质成因模型的理想原型。
Base on the basic model of orthogonal wavelet transforms, principle of remote sensing image fusion is discussed by using orthogonal wavelet decomposition and reconstruction in this paper.
在给出小波变换基本模型的基础上，探讨了采用小波正交分解与重构来进行遥感信息融合的基本原理。
This paper discusses the methods of automatic extraction of digital elevation model (DEM) from remote sensing image. A system of scheme is established to extract DEM from SPOT image.
本文研究了利用航天遥感影像自动提取数字高程模型（DEM）的方法技术，建立了一整套利用SPOT影像提取DEM的方案。
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.
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。
Being testified by field work the exploration model was established based on the remote sensing alteration information anomaly and image geology characteristics in the area.
通过野外的验证工作，据此建立了该地区应用遥感蚀变信息异常、影像地质特征进行找矿的模型。
Key link of this technology is that the monitoring of satellite remote sensing image data picture, correspondence relation model between the ground monitoring SPAD value and growth health of barley.
该项技术主要环节在于卫星遥感图片所监视的影像数据、地面监测SPAD值与大麦生长健康程度的对应关系模型。
A new automatic classification model of remote sensing image using pixel information decomposition combined with neural network classification is proposed in this paper.
提出了一种新的基于像元信息分解和神经网络分类相结合的城市绿地遥感信息自动提取方法。
The method surmounts some shortcomings of using Remote Sensing image Digital Elevation Model, such as the complicated data structure, the slower image formative speed and so on.
它克服了通常作战仿真中采用遥感影像式数字高程模拟方法，数据结构复杂，图形生成速度慢等不足。
A fast de-blurring variational model for optical remote sensing image is proposed.
提出了适合光学遥感图像的快速去模糊变分模型。
In this method, the SVM classification model combined with texture analysis is established on the basis of texture extraction from SPOT5 remote sensing image.
该方法在对SPOT5遥感影像进行纹理特征提取的基础上，构建了结合多窗口纹理的SVM模型。
In this method, the SVM classification model combined with texture analysis is established on the basis of texture extraction from SPOT5 remote sensing image.
该方法在对SPOT5遥感影像进行纹理特征提取的基础上，构建了结合多窗口纹理的SVM模型。
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