共查询到19条相似文献,搜索用时 986 毫秒
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遥感影像纠正中控制点库建立相关技术 总被引:2,自引:0,他引:2
地面控制点的选取是遥感影像几何纠正中的重要环节.针对人工选取控制点的缺陷,根据控制点数据的特点提出了控制点属性数据和图像数据的一体化存储管理方案;设计了控制点库查询检索、匹配选点的使用流程;实现了一个控制点影像数据库的应用系统.系统的使用效果达到预期设想,大大提高了选点精度和效率.对控制点数据进行建库管理可以充分利用已有控制点成果,并能提高选点效率和精度. 相似文献
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分析在传统遥感影像纠正处理工作中遇到的问题,以及控制点影像库的优点和建立的必要性,提出以控制点影像库为基础来解决传统遥感影像纠正处理中资料准备工作量大、控制点采集效率低等问题;基于控制点影像数据库,利用中国测绘科学研究院研发的"遥感影像几何纠正系统"来对国产卫星影像进行纠正,并对精度进行分析。试验证明了应用控制点影像库进行影像几何纠正的可靠性和快速性。 相似文献
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利用中巴资源卫星(CBERS)遥感影像,建立自主版权的基准遥感影像数据库.在建库之前,需要对CBERS影像进行正射校正,拟采用国外公开的正射TM影像作为控制点选取影像,采用国外公开的SRTM作为DEM数据源.利用以上数据,对丘陵和平原的CBERS影像进行正射校正试验.为验证试验结果的可靠性,利用西安80坐标系转换到WGS-84坐标系下的地形图来检验正射校正精度.试验结果证明其正射校正的精度在1.5个像元以内. 相似文献
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基于数据字典的空间数据库通用建库技术 总被引:1,自引:0,他引:1
作为空间信息基础设施,空间数据库的建设效率和质量决定了地学信息项目的成败。目前空间数据库建库大多与特定GIS平台相关,建库过程繁杂、效率低下。为了适应复杂多变的建库需求,通过分析空间数据库数据模型的结构化表达,研究并提出利用数据字典存储数据模型,自动化建库的技术方法。多个项目实践验证该方法能够显著降低建库复杂性,提高建库效率,具有一定的通用性。 相似文献
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通过开展高分辨率卫星遥感影像数据(SPOT5)处理及建库技术方法研究和探索,制定了"高分辨率影像数据处理及基于遥感影像土地利用数据库建设技术要求"和"省级基于遥感影像1:1万土地利用数据库标准",制作了覆盖河南拿省的1:1万数字正射影像图,建立了河南省基于SPOT5的GPS像控点图形图像数据库、高分辨率卫星影像数据库和基于影像信息土地利用数据库,为全国土地利用二次调查基础底图制作进行有益的探索. 相似文献
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结合国家1∶50 000数据库更新工程中影像正射纠正的需要,对于我国较多山区地形复杂、GPS控制点的测量困难地区,利用1∶50 000 DLG中的道路和1∶50 000 DRG数据作为控制资料,通过对控制点选取方式和纠正方法的研究,实现对SPOT 5影像的正射纠正,避免了外业控制点的测量。经过试验,分析其正射纠正精度,... 相似文献
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Jeffrey Shan 《The Photogrammetric Record》2001,17(98):343-353
This paper describes an approach to single image automatic orientation and point determination by using current ortho-images and a DTM, and the experience gained in its implementation. The procedure proposed automatically extracts and matches feature points in evenly distributed patches on aerial images and ortho-images. A large number of image measurements (up to several thousand) are obtained in this process and are included in a robust space resection to determine the orientation parameters of the aerial image. For point determination with a single image, a method is formalised which integrates the DTM interpolation into the space resection so that the 3D ground coordinates of the image points can be determined in a unified mathematical model. Tests and analyses of this method show that the large number of automatic image measurements relieves the requirement for complicated and precise feature extraction and matching methods. The ground points obtained from single image intersection have an accuracy of approximately 1 pixel in planimetry, which fulfils the requirement for ortho-image updating. The elevation accuracy is mainly dependent on the quality of the current DTM and the interpolation method applied to it. 相似文献
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基于改进的半监督FCM算法和马尔科夫随机场,提出了一种新的融合空间信息的半监督变化监测方法。首先将两幅遥感图像相减得到差值图像,并通过第4波段的差值给出了一种新的样本标记方法;然后,通过标记样本对差值图像利用半监督FCM算法进行聚类;最后,为了提高监测精度和去除聚类噪音点,利用像元点之间的空间邻接关系和马尔科夫随机场,通过更新后的隶属度矩阵得到了监测结果。为了验证本文方法的有效性,选取了两组TM遥感图像,监测了森林的变化。试验结果表明,改进的半监督FCM算法可以减少监测的漏检率,马尔科夫随机场方法可以很好地去除聚类过程中形成的噪声点,减少监测的虚检率。 相似文献
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针对利用1:500地形图快速更新其他比例尺地形图的需求,本文提出了基于地形图数据库的同比例尺级别和跨比例尺级别全自动缩编更新入库的方法。通过设计地形图模板及过渡模板,定义地物要素综合取舍转换规则,开发自动缩编软件模块,定制自动缩编更新任务,利用数据库中测量更新范围线自动下载地形图数据进行缩编及更新入库,实现大比例尺地形图依次缩编更新获取多种比例尺地形图的目标。本文提出的技术方法已在长沙市城市基础地理信息数据库更新工作中得到了验证,为采用缩编方式快速获取多样性地理信息数据提供了技术经验。 相似文献
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基于直线特征匹配的序列图像自动配准 总被引:2,自引:0,他引:2
提出了一种运用相应直线段特征作为控制基础的序列图像自动配准方法。根据相应直线段"共线"原理建立了图像配准模型,该模型的优点是不必精确定位相应直线段的端点,突破了相应特征必须严格"同名"的限制。同时,根据图像配准对控制直线段的要求,分别设计了序列图像中直线段特征的自动提取和自动匹配算法,从而实现了概略对准条件下的序列图像的全自动配准。 相似文献
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Automatic change detection and geo-database updating in the urban environment are difficult tasks. There has been much research on detecting changes with satellite and aerial images, but studies have rarely been performed at the street level, which is complex in its 3D geometry. Contemporary geo-databases include 3D street-level objects, which demand frequent data updating. Terrestrial images provides rich texture information for change detection, but the change detection with terrestrial images from different epochs sometimes faces problems with illumination changes, perspective distortions and unreliable 3D geometry caused by the lack of performance of automatic image matchers, while mobile laser scanning (MLS) data acquired from different epochs provides accurate 3D geometry for change detection, but is very expensive for periodical acquisition. This paper proposes a new method for change detection at street level by using combination of MLS point clouds and terrestrial images: the accurate but expensive MLS data acquired from an early epoch serves as the reference, and terrestrial images or photogrammetric images captured from an image-based mobile mapping system (MMS) at a later epoch are used to detect the geometrical changes between different epochs. The method will automatically mark the possible changes in each view, which provides a cost-efficient method for frequent data updating. The methodology is divided into several steps. In the first step, the point clouds are recorded by the MLS system and processed, with data cleaned and classified by semi-automatic means. In the second step, terrestrial images or mobile mapping images at a later epoch are taken and registered to the point cloud, and then point clouds are projected on each image by a weighted window based z-buffering method for view dependent 2D triangulation. In the next step, stereo pairs of the terrestrial images are rectified and re-projected between each other to check the geometrical consistency between point clouds and stereo images. Finally, an over-segmentation based graph cut optimization is carried out, taking into account the color, depth and class information to compute the changed area in the image space. The proposed method is invariant to light changes, robust to small co-registration errors between images and point clouds, and can be applied straightforwardly to 3D polyhedral models. This method can be used for 3D street data updating, city infrastructure management and damage monitoring in complex urban scenes. 相似文献