主题演讲以洞察力开放
昨天早上,三位出色的主题演讲者开放了这一天,每个人都引起了各种主题的关注。Cyrill Stachniss博士谈到了在现实世界中运行的移动机器人的灵活导航。紧随其后的是照片中的3D重建,Deren Li关闭了会议,突出了摄影测量和遥感中大数据的重要挑战。
来自德国波恩大学的西里尔·斯塔奇尼斯(Cyrill Stachniss)谈到了高维感知,大量可能的行动以及对世界状况的不确定性的复杂性。概率方法提供了解决这些问题的方法,因为它们允许明确建模噪声,以在不确定性下做出决策,从而实现稳健的行动。在这次演讲中,她提出了在机器人导航背景下解决不同问题的最新方法,并指出了要解决的挑战以建立更灵活的系统。这包括用于构建环境地图以及将构建模型与现有信息源联系起来的技术。这些是机器人能够在动态环境和拥挤的城市场景中进行稳健导航的重要功能。
照片中的3D重建
布拉格捷克技术大学的Tomas Pajdla审查并证明了照片中3D重建的主要原理。讨论了挑战和机遇,并提出了摄影测量,自动机器人和消费者摄像机的应用。
大数据
Deren Li, Wuhan University, China, closed the session by talking about key questions related to big data in photogrammetry, remote sensing, and geospatial information: how big are big data, how to treat these big data, and how to discover the patterns, rules and knowledge that can be obtained from big geospatial data. Three application examples were used to illustrate the value of big data in photogrammetry and remote sensing. The first example was in huge block adjustment without GCP for all of China. Using ZY-3 three-line CCD Data(8810 frame,20TB) 3,000,000 robust tie points were automatically selected from two billion matched points for adjustment. The accuracy reached 3-5m, meeting global mapping needs at the 1: 50,000 scale, while accurate three metre results can be reached when combined with GRASS data in block adjustment. The second example was night light remote sensing data analysis for socio-economic applications. The visible and near-infrared brightness of the earth’s surface obtained by remote sensing satellites (such as DMSP, NPP) can be used to characterize the range of urban settlements, GDP, population distributions, and other socio-economic factors. Economic growth, urbanization, and humanitarian disasters are likely to be reflected in changes of brightness in remote sensing images over a period of time. A four-year image series shows that the Syrian civil war has led to a significant reduction (more than 80%) in the night light levels in Syria. On March 26, 2015, the United Nations Security Council released a briefing, citing this Syrian night time light research. A third example was automatic Video satellite data compression. This solution can send video satellite data direct to the end-user’s Smartphone.