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Cascaded Residual Attention Enhanced Road Extraction from Remote Sensing Images

Efficient and accurate road extraction from remote sensing imagery is important for applications related to navigation and Geographic Information System updating. Existing data-driven methods based on semantic segmentation recognize roads from images …

Efficient Interactions for Reconstructing Complex Buildings via Joint Photometric and Geometric Saliency Segmentation

The reconstruction of level-of-detail 2 (LOD-2) buildings has drawn considerable attention over the past two decades. Since completely automatic reconstruction approaches still face many difficulties in industry solutions, efficient and robust …

Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment

Photogrammetric mesh models obtained from aerial oblique images have been widely used for urban reconstruction. However, photogrammetric meshes suffer from severe texture problems, particularly in typical road areas, owing to occlusion. This paper …

Joint Learning of Contour and Structure for Boundary-Preserved Building Extraction

Most of the existing approaches to the extraction of buildings from high-resolution orthoimages consider the problem as semantic segmentation, which extracts a pixel-wise mask for buildings and trains end-to-end with manually labeled building maps. …

Depth-Enhanced Feature Pyramid Network for Occlusion-Aware Verification of Buildings from Oblique Images

Detecting the changes of buildings in urban environments is essential. Existing methods that use only nadir images suffer from severe problems of ambiguous features and occlusions between buildings and other regions. Furthermore, buildings in urban …

Combined Rule-Based and Hypothesis-Based Method for Building Model Reconstruction from Photogrammetric Point Clouds

Three-dimensional (3D) building models play an important role in digital cities and have numerous potential applications in environmental studies. In recent years, the photogrammetric point clouds obtained by aerial oblique images have become a major …

Laplacian Fusion Approach of Multi-Source Point Clouds for Detail Enhancement

Occlusion problems cause many holes on scanned object surfaces in terrestrial laser scanning point clouds. The existing simulation methods, based on the properties of structural continuity, cannot recover the missing details. Previous studies have …

三角网模型多目标加权最短路径的特征线提取

针对倾斜摄影测量三维重建得到的三维模型在地物拐角棱线处结构粗糙、噪声较大、规则性缺失,难以快速准确提取出理想特征线的难题,提出一种基于多目标加权最短路径的特征线提取方法. 首先对模型进行预处理,使模型具有完整、连续的拓扑结构,并将模型以有向图结构进行组织;其次顾及距离、方向和三角网变化趋势计算权重,约束迪杰斯特拉算法获取最短路径得到特征线;最后,为了修复模型特征不明显的棱线区域,设计了一种棱线修复算法. 研究结果表明:与交互式方法对比,本文方法效率高,只需选取两个特征点指定目标,同时提取结果不依 …

精细建筑物碎片化纹理优化的二维装箱方法

为了解决精细建筑物模型大量碎片化纹理造成模型加载时间长和实时渲染效率低的问题,提出一种精细建筑物碎片化纹理优化的二维装箱方法. 计算共用纹理并集区域,优化冗余纹理内容,并同时顾及超出常规坐标[0,1.0]范围的异常纹理;使用二维装箱算法对优化后的离散纹理进行封装,降低纹理数量;利用纹理映射和纹理集技术将优化后的纹理重映射到建筑物表面,然后对建筑群进行实验.研究结果表明:使用本文方法,纹理数据量减少了 71.20%,纹理文件数量减少了 99.37%,模型载入耗时减少了 98.86%,图像处理器耗时 …

Interactive Correction of a Distorted Street-View Panorama for Efficient 3-D Façade Modeling

Façade features are important in large-scale level-of-detail 3 (LoD-3) reconstruction in urban environments, and street-view panoramas are arguably the best option for detailed 3-D façade modeling. However, despite the plethora of street-view …