地理国情普查DOM的制作及检查

DOM是国情普查内容的重要组成部分,是地理国情普查中调查的重要数据源。本文通过卫星影象纠正,控制点选取,全色波段影像正射纠正,多光谱影像与全色波段影像配准,多光谱影像与全色波段影像融合等技术手段,确保了DOM的精度,为国情普查的后续工作提供精确的基础资料。     

无或稀少控制地区地理国情普查DOM生产技术方法研究

利用高分辨率卫星影像获取地理国情信息是地理国情普查工作的重要技术手段。选取QuickBird、WorldView和资源3号等高分辨率卫星影像,在研究无或稀少控制及不同DEM数据对影像纠正精度影响的基础上,提出地理国情普查DOM生产技术方法,供缺少地理信息数据资料的普查区域进行DOM纠正时参考。     

浅谈地理国情普查影像制作、影像融合算法

伴随着地理国情普查项目的逐步开展,地理国情影像制作作为生产作业中重要的环节受到了高度重视。在此次项目中,采用的卫星影像共有4种,分别为Worldview-1,Worldview -2,Quickbird,资源三号,采用经过精细化DEM纠正的高分辨率全色影像加多光谱影像融合的方式生产最终的DOM数据。在融合过程中采用何种融合方法能达到最高生产效率与较高的生产质量受到一线生产人员的广泛关注,本文就这一问题加以分析,利用原理与实际生产给予解决。     

SPOT 5卫星影像在广东省土地资源动态监测中的应用

介绍了在土地资源监测管理中,利用SPOT 5卫星影像进行正射纠正、全色波段与多光谱数据融合、模拟自然彩色的工艺流程。     

顾及光谱特性的多光谱与全色影像HIS融合方法

应用CHIS(Generalized-Hue-Intensity-Saturation)变换融合多光谱影像与全色影像中存在的光谱扭曲问题,主要是由于变换后的I分量与全色影像之间差异过大.为此,本文提出了一种基于统计关系定权的I分量计算方法,从数据整体角度考虑,在不能获取I分量与多光谱影像准确函数关系情况下,通过各波段影...     

多源卫星遥感影像区域网联合平差技术

针对地理国情普查数字正射影像底图制作过程中数据源种类多、数据量大以及传统的单景正射纠正方法费时费力等问题,该文提出了多源卫星遥感影像区域网联合平差法,对大区域多景多源卫星影像进行正射纠正的方法。先利用各影像间的连接点进行自由网平差,建立一个稳固的网形;然后在自由网中均匀地添加少量地面控制点,对整个区域进行控制网平差。平差过程中利用仿射变换模型对RFM进行像方改正,以减小其系统误差。实践证明该方法可以获得较高的成图精度,满足地理国情普查底图DOM制作的精度要求,且能提高DOM的生产效率。     

光谱与空间局部相关的SVR影像融合方法

针对合成变量比(synthetic variable ratio,SVR)融合方法可能存在的颜色偏差问题,提出一种基于光谱与空间相关的遥感影像融合方法。该方法利用全色影像与多光谱影像的光谱与空间相关特性,采用局部优化策略模拟全色波段,能够有效地减少融合影像的光谱扭曲。选择WorldView-2等卫星的全色和多光谱影像进行融合试验,采用目视和量化指标进行评价,并与现有流行算法进行对比,验证了本文方法的优越性。     

不同遥感影像融合方法在地理国情普查中的应用对比研究——以海南北部地区为例

利用比值变换融合、高通滤波融合、改进IHS融合、小波变换融合和基于主分量变换等图像融合方法对IKONOS多光谱影像和IKONOS全色影像进行融合,结合地理国情普查的地表覆盖类型,对比融合后影像的特点,并分析评价对比结果,为地理国情普查工作选用合适的融合方法生成效果较好、地物清晰的遥感底图,从而为提高解译效率提供参考依据。     

使用泊松方程插值方法进行遥感影像融合

以高空间分辨率的全色影像为引导,高光谱分辨率的多光谱数据作为已知条件,利用泊松方程插值方法对各个波段影像在空间维进行插值,最终得到的多光谱影像既具有原多光谱影像的光谱信息,同时又具有全色影像的清晰细节。该方法还具有不受波段数目限制的特点,与多重网格方法结合可以提高数据处理效率。使用该融合方法对QuickBird和IKONOS数据进行融合实验,实验结果在RASE、ERGAS、空间细节质量、SSIM等多项质量指标上优于传统融合方法。     

遥感影像的融合--SPOT全色波段和多光谱影像的融合

按照影像融合的一般理论,结合Erdas软件功能实现了SPOT全色波段和多光谱影像的融合。     

基于 GDAL 的地理国情普查影像控制点自动提取

地理国情是国情的重要组成部分,是与地理空间紧密相连的自然环境、自然资源基本情况和特点的总和。影像控制点作为地理国情重要组成之一,其数据生产以及成果质量具有重要意义[1]。当前处理影像控制点方式需大量人工操作,过程复杂且效率低下,本文深入分析影像控制点规范,提出基于GDAL的自动提取方案,并开发出影像控制点自动提取软件,可大幅度提高影像控制点生产效率,为地理国情普查提供保障。     

Comparison of Fusion Techniques for Very High Resolution Data for Extraction of Urban Land-Cover

This paper aims in presenting a thorough comparison of performance of pan sharpening techniques, belonging to spatial, spectral, scale-space and spatial-frequency domain, for Very High Resolution Satellite Data. With the availability of new Very High Resolution sensors, especially, World View-2 sensor, which provides data at sub-meter level, the need for fusion of Panchromatic (PAN) and Multispectral (MS) images has to be further investigated. Pan-sharpening techniques namely, Hue-Saturation-Intensity, Brovey Transform, Principal Components Analysis, Discrete Wavelet Transform, Stationary Wavelet Transform, Non Sub-sampled contourlet Transform and Pseudo Wigner Distribution (PWD) fusion method have been selected for the fusion of PAN and MS images of World View-2 sensor. Further, the comparison of performance of each of the techniques have been carried out by using various evaluation indicators, such as, Root Mean Square Error, Peak Signal-to-Noise Ratio, Correlation Coefficient, Universal Image Quality Index. It is found that PWD based fusion technique gives good result with a good trade-off between the preservation of spectral information and enhancement of spatial resolution.     

地理国情监测像控点数据库及管理系统建设研究

地理国情监测是一项覆盖全国的长期、持续、空间重叠性高的任务,在这个过程中需要获取大量像控点。通过搭建像控点数据库和管理系统,将像控点入库统一管理,实现不同时间和空间重叠区域像控点资源共享,节约大量时间和人力、物力资源。通过实验区域像控点数据库建库和数据库管理系统研发,实现像控点资源共享。研究成果可推广应用于全国范围内的像控点建库和像控点数据库管理。     

DCT Based Pansharpening of Satellite Images Using Adaptive Linear Model

Remote sensing offers a wide variety of image data with different characteristics in terms of spatial and spectral resolutions. For optical sensor systems, imaging systems have a trade-off between high spatial and high spectral resolution, and no single system offers both. Hence, in the remote sensing application, an image with ‘greater quality’ often means higher spatial and higher spectral resolution. It is, therefore, necessary and very useful to merge images with higher spectral information and higher spatial information. Pansharpening combines spatial information from the high-resolution panchromatic image and color information from multispectral bands to create a high-resolution color image. Here we propose Discrete Cosine Transform (DCT) based pansharpening algorithm using Adaptive Linear model which preserves spectral information from Multispectral image and retains spatial resolution of Panchromatic image.     

新时期下应用型测绘工程人才培养模式探讨

在全国地理国情监测、全国土地确权、第三次全国土地调查和京津冀一体化协调发展等社会需求背景下,为能够培养出适应社会发展需要的应用型测绘工程人才,本文结合测绘工程专业特点,论述该专业应用型人才的素质,从人才培养定位、人才培养目标、课程体系建设、实践教学体系建设、师资队伍建设等方面探讨新时期下应用型测绘工程人才培养的模式。     

A Comparative Investigation of Image Fusion in the Context of Classification

Image fusion assists in visual interpretation, mapping, change detection and many other applications. Multispectral and Panchromatic images are fused to produce images having enhanced spatial and spectral properties. These properties are generally distorted from original images. The aim of this paper is to identify the effectiveness of the several fusion techniques based on the distortions and applications. This paper employs seven image fusion techniques namely, Brovey transform, intensity hue saturation, high pass filter, principle component analysis, UNB Pansharpening, wavelet transform and multiplicative, available in various commercial image processing software. The data for this study are panchromatic image of Cartosat-1 and multispectral image of IRS - P6 LISS 4 sensor of study area, Bhopal Municipal Corporation area, M.P. State, India. The effectiveness of image fusion techniques is determined by quantitative and qualitative assessments. Quantitative assessment is divided into two parts: 1) assessment of fusion techniques by statistical parameters and 2) accuracy assessment of land use maps generated from the fused images. For part 1, three parameters namely, mean bias, correlation coefficient and Q4 quality index, have been used. Based on the results of part 1, UNB Pansharpening and wavelet transform are the best among seven fusion techniques. For part 2, Gaussian and Artificial Neural Network classifiers have been used to generate land cover maps. However, the accuracy results are inconclusive to identify a single best method. Nevertheless, image fusion by wavelet transform has provided best results in both the sector. Hence, wavelet transform is concluded as the best among selected fusion techniques.     

基于倾斜影像的正射影像生成方法研究

DOM数据的获取方式多种多样,随着技术的发展,对DOM的制作精度要求也越来越高,本文利用倾斜影像,进行数字正射影像图的制作。根据正射影像图制作理论和流程进行实验,对比分析数字正射图(DOM)的精度。实验表明,加入倾斜影像生成的正射影像图(DOM)的精度较高。     

基于天地图的地理国情统计分析信息发布服务系统设计

针对地理国情基本统计指标与统计内容,提出在天地图平台基础上,实现对地理国情统计分析成果的发布与展示的设计思路,就其技术可行性、实现方法等内容进行了探讨,为后期地理国情基本统计成果的发布与应用提供了参考。     

基于SPOT5卫星遥感数据的正射影像生产技术研究

结合"2010年全国土地利用变更调查监测与核查项目遥感监测任务"项目,提出SPOT5卫星遥感数据的正射影像(DOM)处理流程,重点对影像配准、影像融合、镶嵌线勾绘及影像镶嵌方法进行介绍,并用实验验证方法的可行性。实验证明,该方法具有较强的实用价值和广泛的应用前景。     

Topographic and Satellite Information for Preliminary Route Location

Topographic information from maps and geographical information systems (GIS) has been combined with satellite data (SPOT Panchromatic, SPOT Multispectral and Landsat Thematic Mapper) to derive a product that may be valuable in preliminary route location studies. The objectives of this study were to evaluate the classification accuracy of this combined product, to compare levels of ground detail obtainable from different types of satellite imagery against aerial photography, and to present an example application on the use of the combined product.
The classification accuracy of the combined product was dependent on the type of land cover and was 83 to 100 per cent successful, with accuracy exceeding 95 per cent for most land cover types. The overall accuracy of the product was almost 95 per cent, with accuracy based on KHAT statistics of 92 per cent. Varying levels of ground detail were attainable from different types of satellite imagery. This detail may be adequate for preliminary route selection, especially in the absence of aerial photographs and GIS. The combined product presented in this study was applied successfully in selecting the optimal route for the Greater Amman ring road.