Data matching of building polygons at multiple map scales improved by contextual information and relaxation     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

The aim of matching spatial data at different map scales is to find corresponding objects at different levels of detail (LODs) that represent the same real-world phenomena. This is a prerequisite for integrating, evaluating and updating spatial data collected and maintained at various scales. However, matching spatial data is not straightforward due to the ambiguities caused by problems like many-to-many correspondence, non-systematic displacement and different LODs between data sets. This paper proposes an approach to matching areal objects (e.g. buildings) based on relaxation labeling techniques widely applied in pattern recognition and computer vision. The underlying idea is to utilize contextual information (quantified by compatibility coefficient) in an iterative process, where the ambiguities are reduced until a consistent matching is achieved. This paper describes (1) a domain-specific extension to previous relaxation schemes and (2) a new compatibility coefficient that exploits relative relationships between areal object pairs in spatial data. Our approach were validated through extensive experiments using building data sets at 1:10k and 1:50k as an example. Our contextual approach showed superior performance against a non-contextual approach in general and especially in ambiguous situations. The proposed approach can also be applied to matching other areal features and/or for a different scale range.  相似文献   

Change detection on LOD 2 building models with very high resolution spaceborne stereo imagery     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

Due to the fast development of the urban environment, the need for efficient maintenance and updating of 3D building models is ever increasing. Change detection is an essential step to spot the changed area for data (map/3D models) updating and urban monitoring. Traditional methods based on 2D images are no longer suitable for change detection in building scale, owing to the increased spectral variability of the building roofs and larger perspective distortion of the very high resolution (VHR) imagery. Change detection in 3D is increasingly being investigated using airborne laser scanning data or matched Digital Surface Models (DSM), but rare study has been conducted regarding to change detection on 3D city models with VHR images, which is more informative but meanwhile more complicated. This is due to the fact that the 3D models are abstracted geometric representation of the urban reality, while the VHR images record everything. In this paper, a novel method is proposed to detect changes directly on LOD (Level of Detail) 2 building models with VHR spaceborne stereo images from a different date, with particular focus on addressing the special characteristics of the 3D models. In the first step, the 3D building models are projected onto a raster grid, encoded with building object, terrain object, and planar faces. The DSM is extracted from the stereo imagery by hierarchical semi-global matching (SGM). In the second step, a multi-channel change indicator is extracted between the 3D models and stereo images, considering the inherent geometric consistency (IGC), height difference, and texture similarity for each planar face. Each channel of the indicator is then clustered with the Self-organizing Map (SOM), with “change”, “non-change” and “uncertain change” status labeled through a voting strategy. The “uncertain changes” are then determined with a Markov Random Field (MRF) analysis considering the geometric relationship between faces. In the third step, buildings are extracted combining the multispectral images and the DSM by morphological operators, and the new buildings are determined by excluding the verified unchanged buildings from the second step. Both the synthetic experiment with Worldview-2 stereo imagery and the real experiment with IKONOS stereo imagery are carried out to demonstrate the effectiveness of the proposed method. It is shown that the proposed method can be applied as an effective way to monitoring the building changes, as well as updating 3D models from one epoch to the other.  相似文献   

融合嫦娥一号CCD影像与DEM数据的月球撞击坑自动提取和识别   总被引：3，自引：1，他引：2  

罗中飞  康志忠  刘心怡 《测绘学报》2014,43(9):924-930

针对现阶段月球撞击坑定量信息提取不足和误提取的问题,本文提出了一种融合CCD影像和DEM数据进行撞击坑的自动提取及识别的算法。（1）在太阳光照下,撞击坑的影像特征满足特定的规律,通过条件匹配在CCD影像中提取撞击坑;（2）在DEM中,利用撞击坑坑壁点的坡向值的连续性,对影像中误提取的撞击坑进行剔除;（3）在DEM中,利用撞击坑边缘点法向量的突变性,提取撞击坑边缘点并进行拟合,计算撞击坑的参数,通过坑底点云所占比例以及剖面线特征识别撞击坑的类型。经过“嫦娥一号”影像与DEM数据的验证,该算法在高纬度月球撞击坑分布均匀的区域应用效果较好。  相似文献   

高噪声环境下基于参考影像的车载序列影像定位方法   总被引：1，自引：1，他引：0  

季顺平  史云 《测绘学报》2014,43(11):1174-1181

本文提出一种Monte-Carlo匹配与定位算法,基于已知地理参考影像实现了地面车载全景影像序列的精确定位。首先,基于贝叶斯准则和马尔科夫随机链,推导了几何、辐射两种约束条件下运动影像序列全局定位的通用统计模型。然后,顾及阴影、遮挡、动态目标等困难条件下的多源影像匹配80%的误匹配率,基于粒子滤波原理提出Monte-Carlo匹配与定位一体化求解算法（MIML）,通过预测、更新的迭代策略,在剔除粗差的同时获得最佳定位结果。通过2000余张车载全景影像序列的定位实验,验证了本方法能够克服多源影像匹配中误匹配点太多导致的传统平差算法无法收敛的问题,实现了车载全景序列影像的精确定位。  相似文献   

面向等高线与河流冲突处理的多约束移位方法     

李国辉  许文帅  龙毅  周侗  高朝 《测绘学报》2014,43(11):1204-1210

本文针对等高线与河流的不一致性问题,以移位等高线匹配河流为出发点,提出一种对每个特征点动态确定仿射变换模型进行移位的方法。该方法综合考虑移位角度比例、地形特征点相对位置、局部形态的保持和变换等因素,对各特征点实时计算其位移的角度、位置和缩放变化等约束建立其移位模型。实验结果表明,本文提出的方法能够较好地实现等高线到河流的一致性改正,可有效解决等高线与河流数据的空间匹配问题。  相似文献   

基于加速鲁棒特征图像匹配的云导风计算方法     

孔德华  张东  张卓  宋志尧 《海洋科学》2022,46(9):64-76

利用云导风技术结合高分辨率气象卫星遥感数据获取风矢量,在监测台风等极端气象灾害方面具有重要应用。本文提出了一种基于加速鲁棒特征(speeded up robust features,SURF)图像匹配的云导风计算方法,利用SURF算法结合随机抽样一致算法(random sample consensus,RANSAC),提取并匹配两景连续时序云图的特征点,计算风矢量,并结合当地大气温度廓线指定云高,经质量控制得到云导风矢量。运用该方法模拟了2018年台风“山竹”的云导风矢量,以美国威斯康星大学气象卫星研究合作所(CIMSS)的大气运动矢量资料进行验证,结果表明:(1)风速和风向的相关系数分别为0.78和0.79,均方根误差分别为4.75 m·s^–1和37.64°,平均绝对百分比误差分别为33.49%和22.55%,整体具有良好的模拟精度;(2)与CIMSS资料相比,基于特征点匹配的SURF云导风计算方法在反演密集云区的风矢量有明显优势,可有效提高云区内风矢量的数量,扩大风矢量的空间覆盖范围;(3)图像对比度增强处理对特征点的提取和风矢量的空间分布有重要影响,伽马变换因子γ=5时,能较好地平衡台风外围螺旋云带和中心附近云区的风矢量数量,反映台风风场的整体特征。该方法作为基于尺度不变特征变换的云导风计算方法的改进,可为利用卫星遥感影像数据进行云导风计算提供新的思路。  相似文献   

两种荒漠蓝藻生长特征及其对培养水体微环境的影响     

王楠  赵燕翘  许文文  孙靖尧  李承义  赵洋 《中国沙漠》2023,43(1):66-74

人工生物土壤结皮是近年来新兴的绿色环保固沙材料,是目前沙区生态恢复研究的前沿和热点,用于人工生物土壤结皮培养的荒漠蓝藻等生物体的产量是该技术大规模应用的限制因素。为了解荒漠蓝藻的生长特征及其影响因子,以分离于腾格里沙漠蓝藻结皮中的优势荒漠蓝藻——具鞘微鞘藻(Microcolus vaginatus)和念珠藻(Nostoc carneum)为对象,探索了实验室条件下接种密度对荒漠蓝藻生长和培养水体pH及电导率的影响。结果显示：随着接种密度的增加,具鞘微鞘藻和念珠藻生长进入稳定期的时间提前。在生长初期,具鞘微鞘藻在0.35、0.95 mg·L^-1密度下的干重显著高于2.13、6.59、13.42 mg·L^-1密度下的干重,生长后期则相反。在生长前期和后期,念珠藻在0.04～0.32 mg·L^-1密度下的干重和总质量均显著高于0.86～2.59 mg·L^-1密度下;具鞘微鞘藻在6.59～13.42 mg·L^-1密度下的总质量显著高于0.35～2.13 mg·L^-1  相似文献   

Coordinated development of land multi-function space: An analytical framework for matching the supply of resources and environment with the use of land space for ecological protection,agricultural production and urban construction   总被引：1，自引：1，他引：0  

Qu  Yanbo  Zhang  Yanjun  Wang  Shilei  Shang  Ran  Zong  Haining  Zhan  Lingyun 《地理学报(英文版)》2023,33(2):311-339

Journal of Geographical Sciences - Based on the carrying capacity of the resources and the environment, this article defines the connotation of the land multifunctional space (LMFS) from three...  相似文献   

Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables     

《ISPRS Journal of Photogrammetry and Remote Sensing》2013

Recent research results have shown that the performance of digital surface model extraction using novel high-quality photogrammetric images and image matching is a highly competitive alternative to laser scanning. In this article, we proceed to compare the performance of these two methods in the estimation of plot-level forest variables. Dense point clouds extracted from aerial frame images were used to estimate the plot-level forest variables needed in a forest inventory covering 89 plots. We analyzed images with 60% and 80% forward overlaps and used test plots with off-nadir angles of between 0° and 20°. When compared to reference ground measurements, the airborne laser scanning (ALS) data proved to be the most accurate: it yielded root mean square error (RMSE) values of 6.55% for mean height, 11.42% for mean diameter, and 20.72% for volume. When we applied a forward overlap of 80%, the corresponding results from aerial images were 6.77% for mean height, 12.00% for mean diameter, and 22.62% for volume. A forward overlap of 60% resulted in slightly deteriorated RMSE values of 7.55% for mean height, 12.20% for mean diameter, and 22.77% for volume. According to our results, the use of higher forward overlap produced only slightly better results in the estimation of these forest variables. Additionally, we found that the estimation accuracy was not significantly impacted by the increase in the off-nadir angle. Our results confirmed that digital aerial photographs were about as accurate as ALS in forest resources estimation as long as a terrain model was available.  相似文献   

质心法在航空影像框标定位中的应用     

李烁  王慧  闸旋 《测绘工程》2013,(5):71-74

航片框标定位的精度直接影响摄影测量测图的质量,传统的基于影像匹配的框标定位算法精度只能达到像素级。文中提出一种模板匹配与质心法相结合的航片框标定位方法,先利用模板匹配进行概略定位,再利用质心法进行框标点的精确定位,将精度提高到亚像素级。实验证明该方法可以有效地提高精度。  相似文献