融合机载多视倾斜影像和LIDAR数据的城市"真"正射影像自动纠正方法研究

项目名称： 融合机载多视倾斜影像和LIDAR数据的城市"真"正射影像自动纠正方法研究

项目编号： No.41271362

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 天文学、地球科学

项目作者： 吴军

作者单位： 桂林电子科技大学

项目金额： 75万元

中文摘要： 成本高昂、周期长是目前城区大比例尺"真"正射影像制作面临的"瓶颈"问题。本研究以机载LIDAR与倾斜摄影系统获取的"点云"、多视觉倾斜影像为数据基础，就城区"真"正射影像自动纠正方法展开研究：第一，提出和实施基于谱空间匹配与自动空三联合处理的三维点集整体匹配策略与方法，实现LIDAR"点云"与多视倾斜影像的精确地理配准；第二，发展顾及对偶特性的机载Lidar数据形态学滤波方法，并通过多视觉约束下的"点云"边界重构过程以及3D/2D混合三角构网技术实现城市高质量数字地面模型的高效生成；第三，提出和实现包括多视觉相异性下的影像建筑遮挡分析与填补、多视觉相同性下的影像建筑阴影检测与增强、多视影像投影差全面改正以及基于"刀刃"曲线的"伪"区域边界无缝镶嵌等一系列的"真"正射影像自动纠正方法与技术，从而实现正射影像精确、真实地理信息的高效获取，为城市基础地理空间信息建设与广泛应用奠定理论与应用基础.

中文关键词： 真正射影像；倾斜摄影；激光雷达；影像地理配准；遮挡检测

英文摘要： Digital orthophotos are a critical component of the National Spatial Data Infrastructure. Because only the geometric distortion caused by imaging process and terrains are considered, the conventional orthorectification of large-scale aerial images has encountered many difficulties, e.g., occlusions problem as a result of man-made buildings, shadow problem due to different solar angles, etc., in many cases, especially in urban area. Hence, there are increasing efforts toward the generation of "True" orthophotos for not only representing the actual coordinate of the region but also providing useful information of the region, although it was subjected to several challenges in practice: a)The generation of high-quality DSM for image geometry ortho-rectification is ultra time-consuming and costly,especially when all kind of rooftops are modeled in the correct way; b)Occlusions occurred in the single images have to be filled up by combining several overlapping orthophotos. But often not all occluded areas can be filled up as not enough overlapping orthophotos are available; c)Shadows from high buildings are popular in urbar area. But often the removal of various shadows accurately and in detail can be complicated if computed automatically or time consuming if identified interactively; d)Other issues,like seamless mosa

英文关键词： true orthphoto；Oblique photogrammetry；Lidar；image geo-registration；occlusion detection