GPS-RTK测定坐标转换到地方独立坐标的方法及其适用性分析

GPS-RTK技术已经广泛应用于测绘工程的各个领域,特别是在城市测量和工程测量的应用中,因其使用的地方独立坐标系统的特殊性,GPS-RTK坐标转换参数求取方法也具有特殊性。本文从实际工作应用的角度出发,论述了GPS-RTK技术在城市测量和工程测量中坐标转换的不同方法及其适用性。     

几种天绘一号卫星影像分割方法及质量评价

为寻求更适合天绘一号卫星影像的分割方法,文章采用均值偏移分割、分水岭分割、数学形态学分割、连通分量分割4种图像分割方法对天绘一号卫星影像进行分割实验,并从视觉和定量两方面对分割结果进行评估.结果表明:均值偏移方法的分割质量更佳,且分割结果更有利于提升后续处理的效率;几何形态较规则、质地较均一、复杂度较低的地物类型分割质量较高,反之则较低.     

Defending against wormhole attack in OLSR

OLSR (optimal link state routing) is one of the four basic routing protocols used in mobile ad hoc Networks by the MANET working group of IETF (Internet engineering task force). OLSR, a proactive routing protocol, is based on a multipoint relaying flooding technique to reduce the number of topology broadcast. OLSR uses periodic HELLO packets to neighbor detection. As introduced in Reference [1], the wormhole attack can form a serious threat in wireless Networks, especially against many ad hoc Network routing protocols and location-based wireless security systems. Here, a trust model to handle this attack in OLSR is provided and simulated in NS2.     

Auto-identification of forest fire-points in NOAA images based on neural network

Identification of forest fire-points in NOAA images in the basis of monitoring forest fire using NOAA satellite data. Traditional visual interpretation is difficult to settle for auto identification with computer. The artificial neural network technique provides a new means for solving this problem. In this paper, the principles and method of using neural network technique to automatically identify fire-points in NOAA images are discussed and the test in the range of Hubei province is presented. The result of the test shows that the disciplined neural network has collected the character of fire-points and has ability to identify fire-points in NOAA images. Comparing neural network with visual interpretation, the conclusion is drawn that by using neural network the purpose of auto-identification of forest fire-points in NOAA images can be realized with the almost same precision.     

顾及地物空间关系的卫星影像水系信息提取

为了更好地提取影像阴影部分的信息,本文采用一种顾及地物间空间关系的水系提取方法,将地物之间的空间关系与面向对象的方法相结合。通过多尺度分割算法生成同质的影像对象,利用决策树、隶属度函数和阴影与建筑物的邻接关系对水体进行提取。以昆明某区域影像为实验数据进行了试验,试验结果表明,所提出的方法可以有效解决阴影对水系提取造成的影响,大大提高了水系提取的精度。     

垂线偏差对隧道贯通误差的影响规律及影响值计算

分别从两端洞口引测方向进洞和斜井洞口引测方向进洞两个方面分析垂线偏差对贯通误差的影响规律;利用EGM2008模型,计算全国1°×1°的垂线偏差,并绘出等值线图;结合国内高铁长大隧道工程实际,计算垂线偏差对贯通误差的影响值。     

基于Web的3维数字社区建设方法与应用研究

提出了一种基于Web的3维数字社区建设方案与技术路线,对3维数据社区关键技术进行了研究,并结合具体应用。本文提出的数字社区平台建设思想,结合了Web计算机技术与3维地理信息系统技术,以期对数字社区平台建设提供有益借鉴。     

A Neural Network Landuse Classifier for SAR Images Using Textural and Fractal Information

Abstract

Artificial neural networks (ANN) have recently been popularly used in image classification. Input features to most ANNs are extracted based on a one class per pixel basis. This requires a large number of training samples and thus a slow training rate. In this paper, we describe the use of a windowing technique to extract textural features such as average intensity, second moment of intensity histogram and fractal surface dimension from an image. This method of image characterization reduces the number of training samples efficiently, yet retains a reasonable overall classification accuracy. The ANN is trained based on the back‐error propagation algorithm. The method is applied for landuse classification of Synthetic Aperture Radar (SAR) images. An example is given for a site in Kedah State, Malaysia. The SAR images (HH,HV,VV) were taken by the Canadian Centre for Remote Sensing (CCRS) CV‐580 airborne C‐band SAR system in November 1993 during their GlobeSAR mission in Malaysia. These multi‐polarization SAR images are co‐registered with a Landsat Thematic Mapper (TM) channel 5 image from same area. An overall classification accuracy of about 86.95% is achieved using windowing technique, as compared to 68.22% based on one class per pixel approach. This shows that through fractal and textural information, the windowing technique when applied in an ANN classifier has a great potential in remote sensing applications.     

地理国情普查成果应用实践与探索

分析了地理国情普查和监测的内涵、意义及其成果、产品,并针对当前的热点问题,对地理国情普查成果的应用进行了探索,为确立测绘地理信息部门新的发展方向奠定了良好的研究基础。     

丹江口水库面积季节变化遥感监测

基于2014年2月19日、2014年6月7日和2014年10月8日的三景资源三号卫星影像分别作为春季、夏季和秋季的代表,以河南省内的丹江口水库为研究区域,采用面向对象的遥感影像监督分类方法进行影像的分割和分类,提取出遥感影像中的水体,并结合南水北调中线工程对水域面积和周围地物的影响对这3个时期的影像进行比较和分析,得出这3个时期水域面积的变化数据。