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Multientity Registration of Point Clouds for Dynamic Objects on Complex Floating Platform Using Object Silhouettes

This article is focused on a challenging topic emerging from the registration of point clouds, specifically the registration of dynamic objects with low overlapping ratio. This problem is especially difficult when the static scanner is installed on a …

Object-Based Incremental Registration of Terrestrial Point Clouds in an Urban Environment

Registration of terrestrial point clouds is essential for large-scale urban applications. The robustness, accuracy, and runtime are generally given the highest priority in the design of appropriate algorithms. Most approaches that target general …

Topographic and Geomorphological Mapping and Analysis of the Chang'E-4 Landing Site on the Far Side of the Moon

The Chinese lunar probe Chang'E-4 successfully landed in the Von Kármń crater on the far side of the Moon. This paper presents the topographic and geomorphological mapping and their joint analysis for selecting the Chang'E-4 landing site in the Von …

Unsupervised Feature Learning to Improve Transferability of Landslide Susceptibility Representations

A landslide susceptibility map (LSM) is of vital importance for risk recognition and prevention. In the last decade, statistical methods have gradually exerted their impact on mapping the landslide susceptibility to locate the high-risk places of …

A Multi-Primitive-Based Hierarchical Optimal Approach for Semantic Labeling of ALS Point Clouds

There are normally three main steps to carrying out the labeling of airborne laser scanning (ALS) point clouds. The first step is to use appropriate primitives to represent the scanning scenes, the second is to calculate the discriminative features …

Color Balancing and Geometrical Registration of High-Resolution Planetary Imagery for Improved Orthographic Image Mosaicking

High-resolution orthographic image mosaics of planetary surfaces are an important prerequisite for a range of scientific research and applications. Because images are collected under different conditions, the individual images will inevitably present …

Image-Guided Registration of Unordered Terrestrial Laser Scanning Point Clouds for Urban Scenes

This paper presents an image-guided end-to-end registration approach for globally consistent 3-D registration of unordered terrestrial laser scanning (TLS) point clouds. The proposed method can handle arbitrary point clouds with reasonable pairwise …

Impact Cratering in and around the Orientale Basin: Results from Recent High-Resolution Remote Sensing Datasets

Impact craters are the predominant geological features on the lunar surface. Data about the craters are crucial for inferring information about surface age, the generation processes of the geological units, and the sequences of geological events. The …

基于帧缓存的多角度影像精细纹理映射方法

三维建筑物模型纹理映射方法通常针对单独平面选取单一影像投影,然而单张关联影像通常存在部分遮挡问题,影响纹理映射质量.为此,本文提出一种基于帧缓存纹理绘制技术的多角度影像精准纹理映射方法.首先将单体化精细建筑模型和倾斜摄影测量解决方案生成的三角网模型配准,再根据建筑模型空间特征进行纹理绘制基元提取;然后根据纹理绘制基元对三角网模型生成虚拟渲染相机,利用帧缓存纹理绘制方法,获取帧缓存对象并提取纹理,最后通过纹理绘制基元映射到精细建筑物模型表面,实现三角网模型到精细单体化建筑模型的自动纹理映射.利用倾 …

面向全球 DEM 生产的点云智能滤波与 DEM 泊松编辑方法

国家全球战略急需全球地理信息资源的支撑,如何利用国产高分辨率卫星影像高效生产全球DEM已经成为我国全球地理信息资源建设工程的重大任务。由于全球地形地表结构的多样性和复杂性,现有依靠单一滤波模型或有限滤波规则的点云滤波方法的可靠性和效率难以保证。为此,本文提出一种可靠、高效、稳健的影像密集匹配点云数据智能滤波与DEM泊松编辑方法,通过顾及弯曲能量的点云自适应滤波及多边界约束的泊松地形编辑方法的设计与实现,构建了点云自适应滤波与定向智能精准编辑软件LINK。通过四川、黑龙江、陕西、海南、重庆测绘地理 …