地物特征

在Catalog工作模式下实现目标地物特征类的定制。

At the Catalog mode , we customize the target object feature class .

用于LandsatETM+和ERS-2SAR图像融合对城区地物特征分类的BP-ANN/GA混合算法

A Hybrid BP-ANN / GA Algorithm for Classification of Urban Terrain Surfaces Using Fused Images of Landsat ETM + and ERS-2 SAR

设计了带有一些地物特征的人工合成图像，并使用BG反演算法对一模拟辐射计的生成图像进行了增强处理。

An artificially synthetic image with some ground object features is designed , and the BG inversion algorithm is used to enhance the spatial resolutions of simulated radiometer images .

通过深入分析无线广播网络组网中对其影响的地形、地物特征，详细介绍了栅格分类数据要素的分类内容、如何利用数字摄影测量技术采集数据以及制作DTM和栅格分类数据的方法。

This paper firstly analyzed the terrain and features which influence the construction of wireless broadcasting network . Then it introduced the classification contents of grid classification features , the data collection methods by digital aerial photogrammetry , and the method to produce DTM and grid classification data .

定线外业测量要求测点准确，点位分布均匀，并测出地物特征点。

Second , points of surveying must be exact , average and reflect character of objects .

利用遥感影像上直观的地表地物特征，寻找地下及其一定深度的矿床，不失为遥感找矿方法的一种新思路。

The application of the surface feature on remote sensing image to prospecting the blind ore deposit is a new thought in the remote sensing ore prospecting method .

结果经过非监督分类后，可清楚地辨别所设定的10类地物特征，且与实地勘察结果相吻合。

Results Through unsupervised classification , the character of the ten types of earth substance can been distinguished distinctly , and inosculate with the reconnaissance results on the spot .

把确立的尾矿库地物特征作为解译样本，解译调查区内的尾矿库，并对解译出来尾矿库的数量，面积，所属矿种、使用情况进行统计分析。

Surface features to establish the characteristics of tailings samples as interpretation , interpreting survey area of tailings , and tailings from the number of interpretation , owned minerals , the use of statistical analysis .

多传感器遥感图像为分类技术提供了更多的地物特征信息，有助于提高分类精度，增强计算机自动解译的能力，减少遥感图像的后处理时间。

Multi sensor remote sensing image fusion technique provides more information of ground objects to classification than single sensor image . And it is helpful to improve classified accuracy , enhance computer automatic interpreting capability , and reduce the remote sensing image postprocessing time .

本文在具体分析PD雷达工作体制的基础上，详细研究了载机处于任意飞行姿态下，利用三维数字地形高程图和对应地物散射特征分类，模拟产生多频段多极化雷达距离多普勒杂波图的方法。

Based on the analysis of the PD radar system , this paper studies in detail the modeling method of distance doppler clutter graph of the radar by using an elevation graph of 3D digital terrain and the corresponding classification of terrain with arbitrary postures of the aeroplane .

编程实现了地物光谱特征的参量化。

Programmed to realize the parameterization of the spectral features .

基于地物光谱特征的成像光谱遥感矿物识别方法

Mineral recognition method by spectrometry remote sensing based on material spectral characteristics

多普勒天气雷达地物回波特征及其识别方法改进

Statistical Characteristics of Clutter and Improvements of Ground Clutter Identification Technique with Doppler Weather Radar

地物光谱特征的研究是现代遥感技术的重要组成部分，它既是传感器波段选择和设计的依据，又是遥感数据分析解译的基础。

The study on the objects'spectral character is the very important portion of modern remote sensing technology .

图像差分是实现变化区域检测最直接的方法，但仅仅根据地物光谱特征差异得到的灰度差分图像不能完全表征地物局部结构的变化。

Image difference is the most direct change detection method for change area extraction , but the gray difference only based on spectral feature is difficult in describing the structure change of an object .

分析了星载成像光谱仪地物信息特征，提出并实现了一种地物信息统计控制方法。

In this paper , a method of statistical control of the ground scene information is presented and realized by means of analyses of the features of ground scene information received by the Spaceborne Imaging Spectrometer .

要优化成像光谱图像质量，提高依据地物光谱特征探测、识别地表地物的有效性和精度，必须将图像中的随机点噪声予以消除或压抑。

To optimize the use of the images of an Imaging Spectrometer and to improve the effectiveness and accuracy of discriminating ground objects according to spectral absorption features , removal of random noises of images is necessary .

在多光谱遥感图像中有时也会存在较严重的随机点噪声的干扰，这种随机点噪声严重影响了地物光谱特征提取和识别的精度，降低了各种遥感定量分析方法技术的有效性。

There is random speckle in a remote sensing image sometimes , this kind of speckle noise might bring trouble in extracting spectral information so as to reduce classification accuracy , affect availably applying the technique of remote sensing quantificational analysis .

作者在分析长江口区不同浓度水体与背景地物光谱特征的基础上，利用多时相卫星遥感影像，采用决策树方法及区域增长算法提取水边线信息，提高了水边线提取效率和精度。

According to spectral characteristics of tidal flat and nearshore water body , a decision tree model and region growing method were applied in detecting waterline with improved accuracy . A series of waterlines were extracted from multi-temporal remotely sensing images by above approach .

为此本文针对地物光谱特征分析技术进行了研究，主要完成以下工作：1.对地物光谱特征数据获取的各种方式进行了分析比较，介绍了用野外便携式或室内光谱仪实测的过程以及数据的质量评价。

We research specially on the spectral feature analysis of objects in this paper . The accomplishments include : 1 . Compared the methods that obtain the data of the spectral feature of objects , and introduced the practical process using the outdoor portable spectrometer or the indoor spectrometer .

得到以下结论：（1）MODIS数据的波谱信息，能较好的测量地物的光谱特征。

The results showed that : ( 1 ) Spectral information of MODIS data can well measure the spectrum characteristics .

根据研究区沼泽湿地与其它地物类型物候特征的差异，利用光谱角制图方法（SAM）获取了研究区2009年沼泽湿地的分布数据。

The Spectral angle mapper ( SAM ) was used to extract marsh wetland of the study area according to the different phenological characters between marsh wetland and other surface features .

最后用编码技术和导数光谱技术提取了地物的光谱特征参数；

Using the algorithms this paper proposed we extract spectral absorption parameter .

4种混合地物的光谱特征研究

Study on the spectral reflectance of four kinds of the mixed land cover types

首先分析了该区域城镇聚落的影像特征，研究了城镇聚落及其背景地物的光谱特征。

Firstly , the characteristics of urban and rural residential areas in this area on the image are studied .

从遥感地学的方向入手，研究海岸带主要地物的光谱特征、形状特征、纹理特征等因素。

From the remote sensing geological direction of coastal zone research main features of the spectral features , shape features , texture features and other factors .

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。

In addition , the classification of new spectra resampled by25 bands window shows that new spectra holding main spectral characteristics can basically identify urban targets .

多光谱遥感图像反映了不同地物的光谱特征，其分类是遥感应用的基础。

The multi-spectral remote sensing images reflect the spectral features of diverse surface features , and the their classification is the base of remote sensing applications .

本文研究了地物多种识别特征的遥感信息表达，提出了面向对象的遥感影像信息提取技术。

This paper studied remotely sensed information expression of object ' manifold recognition characters , put forward the technology of intellectual Object - oriented remotely sensed information extraction based on multi-scale .

高分辨率遥感影像具有高空间分辨率、地物几何纹理特征清晰、应用范围广和三维信息丰富的优势，已成功应用于诸多领域。

High resolution remote sensing image owns advantages of high spatial resolution , clear geometric texture , wide applications and abundant three-dimensional information , which has been successfully applied in many fields .