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11篇 您的检索式:作者名="Pirotti"
    题名 作者 年代 出处 被引量
1Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data显示文摘Gaia Vaglio Laurin Qi Chen Jeremy A. Lindsell David A. Coomes Fabio Del Frate Leila Guerriero Francesco Pirotti Riccardo Valentini 2014ISPRS Journal of Photogrammetry and Remote Sensing2014,,:1
2Low-cost MEMS sensors and vision systemfor motion and position estimation of a scooter显示文摘Guarnieri A Pirotti F 2013Sensors2013,13,:1
3Collaborative Web-GIS design: A case study for road risk analysis and monitoring 显示文摘PIROTTI F GUAMIERI A VETTORE A 2011Transactions in GIS2011,15,2:1
4Low-cost MEMS sensors and vision system for motion and position estimation of a scooter 显示文摘Guarnieri A Pirotti F 2013Sensors2013,13,:1
5Cultural her- itage interactive 3D models on the web: An approach using open souse and fesoftwu'e 显示文摘Alberto Guamieri Francesco Pirotti Antonio Vettore 2010Journal of Cultural Heritage2010,,11:1
6Cultural heritage interactive 3D models on the web:An approach using open source and freesoftware显示文摘Alberto Guarnieri Francesco Pirotti Antonio Vettore 2010Journal of Cultural Heritage2010,,11:1
7Suitability of LiDAR point density and derived landform curvature maps for channel network extraction显示文摘Pirotti F Tarolli P 2010Hydrological Processes2010,24,:1
8Ground filtering and vegetation mapping using multi-return terrestrial laser scanning显示文摘Francesco Pirotti Alberto Guarnieri Antonio Vettore 2012ISPRS Journal of Photogrammetry and Remote Sensing2012,,:1
9Cultural heritage interactive 3Dmodels on the web: An approach using open source and freesoftware显示文摘Guarnieri A Pirotti F Vettore A 2010Journal of Cultural Heritage2010,11,3:1
10基于多次回波地面激光扫描的地面滤波和植被成像显示文摘在点云数据研究中,区分地表点和地面以上点(植被和建筑)至关重要。在机载激光扫描中,尽管区分地面点和非地面点的滤波方法已经较为成熟,但在地面激光扫描中却处于刚刚起步阶段。近年来,地面三维激光扫描仪向着长距离、高获取速率、多次回波的方向发展,促进了地表建模的应用。地面三维激光扫描仪所采集的点云数据密度极不均匀,给计算机硬件和数据处理造成了很大的困难。本次实验采用多次目标回波传感器,在实验区收集了超过700000000个点。试验区内植被密度差异很大,不同地形上都分布有裸土。我们测试了生成数字地形模型(DTM)和数字地面模型(DSM)的整个流程,成功地在环境复杂的试验区内提取了植被密度和高程分布信息。我们关注处理效率和速度,首先通过回波数和幅度信息定义地面候选点,然后采用开放操作的渐进形态学滤波方法,根据地面候选点到扫描仪的距离函数对地面点采用多向性网格考虑点密度残差,使用三维空间每个单元中点数的比重估算植被密度。总体结果是一个用最小线程数处理地面三维激光数据的管线,生成DTM、DSM、植被密度图和冠层高度模型,这些数据产品对于林业、水文、地形的应用都十分重要。Francesco Pirotti Alberto Guarnieri Antonio Vettore 宿渊源 2013地壳构造与地壳应力2013,,2:0
11Toward the use of smartphones for mobile mapping显示文摘This paper considers the use of a low cost mobile device in order to develop a mobile mapping system(MMS),which exploits only sensors embedded in the device.The goal is to make this MMS usable and reliable even in difficult environments(e.g.emergency conditions,when also WiFi connection might not work).For this aim,a navigation system able to deal with the unavailability of the GNSS(e.g.indoors)is proposed first.Positioning is achieved by a pedestrian dead reckoning approach,i.e.a specific particle filter has been designed to enable good position estimations by a small number of particles(e.g.100).This specific characteristic enables its real time use on the standard mobile devices.Then,3D reconstruction of the scene can be achieved by processing multiple images acquired with the standard camera embedded in the device.As most of the vision-based 3D reconstruction systems are recently proposed in the literature,this work considers the use of structure from motion to estimate the geometrical structure of the scene.The detail level of the reconstructed scene is clearly related to the number of images processed by the reconstruction system.However,the execution of a 3D reconstruction algorithm on a mobile device imposes several restrictions due to the limited amount of available energy and computing power.This consideration motivates the search for new methods to obtain similar results with less computational cost.This paper proposes a novel method for feature matching,which allows increasing the number of correctly matched features between two images according to our simulations and can make the matching process more robust.Andrea Masiero Francesca Fissore Francesco Pirotti Alberto Guarnieri Antonio Vettore 2016Geo-Spatial Information Science2016,19,3:0
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