一种非量测相机近景影像外方位元素解算方法

本文提出了一种角椎体法和共线方程法联合解算非量测相机影像外方位元素的方法。工程应用证明该方法求解像片的外方位元素具有计算速度快、收敛性强、计算精度高等优点。     

典型高陡边坡高位地质灾害调查及评估

高陡边坡顶部往往难以通达,高位灾害体的判识评估是灾害防治中的难点问题。本文针对某典型高陡边坡,采用无人机低空摄影辅助调查,查明了陡坡危岩体和坡顶变形体地质特征;应用数码摄影测量技术,获取了边坡岩体结构和灾害体几何特征等信息。通过潜在失稳岩体稳定性分析,失稳岩体运动轨迹、冲击能量分析,评价边坡地质灾害危险性;桥梁、路基、棚洞3种构造物型式易损性和灾害发生后经济损失分析表明,棚洞结构最优,若采用其他结构需对边坡主动加固。     

一种地形变化检测与DEM更新的方法研究

提出了一种使用旧时期的DEM和最新的航摄资料检测地形变化,同时更新DEM的方法。利用陕西省两个地区的数据对该方法进行了验证,结果表明变化检测和数据更新的精度比较理想。与现有的生产流程相比,该方法在效率方面有明显的优势,对原始数据的要求较低,最终的产品更加丰富,方法也更加稳健和自动化。     

摄影测量数据库的设计与建立

摄影测量数据库主要存储和管理数字地图成果数据，包括数字高程模型数据（DEM）、数字矢量地图数据（DLG）、数字影像地图数据（DOM）和数字栅格地图数据（DRG）。本文主要介绍了摄影测量数据库的设计、建立以及应用分析等内容。     

基于倾斜摄影测量技术的三维数字城市建模

使用较为先进的信息化手段,能够为城市的规划、建设、管理、运营以及一些应急措施的应用发挥良好作用。三维数字城市的建模,能够在很大程度上有效提高政府的实际服务和管理水平,从而有效增强城市的管理效率,为有效节约城市资源发挥重要的作用。本文主要从数字城市进行三维建模的现实状况入手,对倾斜摄影技术的内涵和技术特征进行详细分析,从而介绍基于倾斜摄影测量技术的三维数字城市建模项目的具体实施情况。     

Assessing the performance of structure‐from‐motion photogrammetry and terrestrial LiDAR for reconstructing soil surface microtopography of naturally vegetated plots

Soil microtopography is a property of critical importance in many earth surface processes but is often difficult to quantify. Advances in computer vision technologies have made image‐based three‐dimensional (3D) reconstruction or Structure‐from‐Motion (SfM) available to many scientists as a low cost alternative to laser‐based systems such as terrestrial laser scanning (TLS). While the performance of SfM at acquiring soil surface microtopography has been extensively compared to that of TLS on bare surfaces, little is known about the impact of vegetation on reconstruction performance. This article evaluates the performance of SfM and TLS technologies at reconstructing soil microtopography on 6 m × 2 m erosion plots with vegetation cover ranging from 0% to 77%. Results show that soil surface occlusion by vegetation was more pronounced with TLS compared to SfM, a consequence of the single viewpoint laser scanning strategy adopted in this study. On the bare soil surface, elevation values estimated with SfM were within 5 mm of those from TLS although long distance deformations were observed with the former technology. As vegetation cover increased, agreement between SfM and TLS slightly degraded but was significantly affected beyond 53% of ground cover. Detailed semivariogram analysis on meter‐square‐scale surface patches showed that TLS and SfM surfaces were very similar even on highly vegetated plots but with fine scale details and the dynamic elevation range smoothed out with SfM. Errors in the TLS data were mainly caused by the distance measurement function of the instrument especially at the fringe of occlusion regions where the laser beam intersected foreground and background features simultaneously. From this study, we conclude that a realistic approach to digitizing soil surface microtopography in field conditions can be implemented by combining strengths of the image‐based method (simplicity and effectiveness at reconstructing soil surface under sparse vegetation) with the high accuracy of TLS‐like technologies. Copyright © 2015 John Wiley & Sons, Ltd.     

Backscattering of individual LiDAR pulses from forest canopies explained by photogrammetrically derived vegetation structure

In recent years, airborne LiDAR sensors have shown remarkable performance in the mapping of forest vegetation. This experimental study looks at LiDAR data at the scale of individual pulses to elucidate the sources behind interpulse variation in backscattering. Close-range photogrammetry was used for obtaining the canopy reference measurements at the ratio scale. The experiments illustrated different orientation techniques in the field, LiDAR acquisitions and photogrammetry in both leaf-on and leaf-off conditions, and two-waveform recording LiDAR sensors. The intrafootprint branch silhouettes in zenith-looking images, in which the camera, footprint, and LiDAR sensor were collinear, were extracted and contrasted with LiDAR backscattering. An enhanced planimetric match (refinement of strip matching) was achieved by shifting the pulses in a strip and searching for the maximal correlation between the silhouette and LiDAR intensity. The relative silhouette explained up to 80–90% of the interpulse variation. We tested whether accounting for the Gaussian spread of intrafootprint irradiance would improve the correlations, but the effect was blurred by small-scale geometric noise. Accounting for receiver gain variations in the Leica ALS60 sensor data strengthened the dependences. The size of the vegetation objects required for triggering a LiDAR observation was analyzed. We demonstrated the use of LiDAR pulses adjacent to canopy vegetation, which did not trigger a canopy echo, for canopy mapping. Pulses not triggering an echo constitute the complement to the actual canopy. We conclude that field photogrammetry is a useful tool for mapping forest canopies from below and that quantitative analysis is feasible even at the scale of single pulses for enhanced understanding of LiDAR observations from vegetation.     

无人机航摄技术在大比例尺测图中的应用研究

以无人机航摄技术在大比例尺(1∶1 000、1∶500)地形图测绘中的应用为研究目的,采用固定翼无人机平台,搭载非量测型数码相机,于河北某矿区进行航摄大比例尺地形图制作实验,通过外业实测点位数据对测图高程及平面精度进行评估。实验结果表明:通过严控误差影响因素无人机航摄技术可以满足1∶1 000比例尺测图精度要求,1∶500比例尺测图精度无法满足。最后,基于精度评定数据对误差产生的原因进行了深入分析与探讨,为无人机航摄技术测绘大比例尺地形图应用的可行性及可靠性提供了经验。     

基于摄影测量的宁夏明长城资源调查

长城是中华民族的象征,是世界上规模最大的文化遗产。但近年来长城却面临着严重的人为破坏和自然破坏的威胁,特别是人为破坏日益加剧。为进一步加强长城保护管理工作,实施宁夏境内明长城资源调查项目,开展明长城基础地理信息数据生产、明长城专题要素数据采集、测量明长城长度、制作明长城专题影像图等工作。     

基于无人机倾斜摄影的强震区公路高位危岩崩塌形成机制及稳定性评价

强震区公路高位危岩崩塌具有极高隐蔽性和危害性,传统的接触式勘察方法难以有效调查震后位于公路两侧高陡斜坡体上的危岩崩塌体。提出一种基于无人机的倾斜摄影测量技术,该技术采用无人机超低空采集高位危岩体的高清影像数据,构建三维空间模型,从而提取危岩体特征参数,为危岩体稳定性分析提供数据支撑。利用无人机对某高速公路危岩崩塌地质灾害路段进行调查,对无人机倾斜摄影测量成果进行分析,明确调查区19处危岩崩塌体特征和崩塌成因机制,在此基础上评价典型崩塌体稳定性。并且使用RocFall软件模拟分析典型危岩体崩落运动轨迹,研究高位危岩崩塌对公路的危险性。研究成果对强震区山区公路高位危岩崩塌勘察、稳定性评价工作具有重要的参考价值。