Towards seamless multi-view scene analysis from satellite to street-level.

In this paper, we discuss and review how combined multi-view imagery from satellite to street-level can benefit scene analysis. ... We review recent works that attempt to combine images taken from the ground and overhead views for purposes like scene registration, reconstruction, or classification. ... INTRODUCTION Traditionally, interpretation of satellite and aerial imagery has been approached separately from scene analysis based on imagery collected at street-level. ...

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This makes it possible to make large scale panoramic street strip image maps for most types of cities, and provides another kind of street view way to view the 360° scene along the street by avoiding the ... On-board GPS/IMU, speedometer and post sequence image analysis technology such as bundle adjustment provided much more accuracy level position and attitude data for these panoramic images, and laser data ... Large scale GIS for street-level viewing, geographical mapping and other location-based visualizations, high end security and surveillance, city planning, simulation and measurement analysis, entertainment ...

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This makes it possible to make large scale panoramic street strip image maps for most types of cities, and provides another kind of street view way to view the 360° scene along the street by avoiding the ... On-board GPS/IMU, speedometer and post sequence image analysis technology such as bundle adjustment provided much more accuracy level position and attitude data for these panoramic images, and laser data ... Large scale GIS for street-level viewing, geographical mapping and other location-based visualizations, high end security and surveillance, city planning, simulation and measurement analysis, entertainment ...

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Abstract We present a system for producing multi-viewpoint panoramas of long, roughly planar scenes, such as the facades of buildings along a city street, from a relatively sparse set of photographs captured ... Figure 1 A multi-viewpoint panorama of a street in Antwerp composed from 107 photographs taken about one meter apart with a hand-held camera. ... Acknowledgements: We are deeply indebted to Noah Snavely for the use of his structure-from-motion system. ...

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., agriculture, forestry, and mining) that needs observed information from the top or oblique views. ... While they intend to be a general remote sensing (RS) tool, the relevant RS data processing and analysis methods are still largely ad-hoc to applications. ... The geometric information from data such as digital elevation models (DEMs) from multi-view/stereo-view images [84, 85] , LiDAR data [86, 87] , or vector data [88] has also been proven to be of great ...

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Our analysis helps to leverage the economic feasibility of distributed infrastructure sensor networks with high perception quality. ... We present a multi-stage optimization method for efficient sensor deployment in traffic surveillance scenarios. ... The continuum of orientation angles is reduced to the finite number of viewing angles from a selected location to all existing street cells of the scene. ...

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, etc., which make it an effective complement to other remote-sensing platforms and a cost-effective means for remote sensing. ... In contrast with the platforms of manned aircraft and satellite, the UAV platform holds many promising characteristics: flexibility, efficiency, high-spatial/temporal resolution, low cost, easy operation ... multi-view 3D reconstruction. ...

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This paper discusses the methodology that developed a procedure to derive terrain surface roughness from various multi-source satellite images. ... It was necessary to investigate the applicability of multi-sensor approaches to generate a regional/national terrain surface roughness map based on the Australian/New Zealand wind loading standard (AS/ ... The views expressed in this paper are the authors' and not necessarily the views of Geoscience Australia. ...

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Earlier it had limited features restricted to navigation, but today it provides overwhelming features like street-view, ETA and other such intriguing features. ... It gives an overview about the algorithms and procedures employed by Google Maps to carry out analysis and enable users to carry out desired operations. ... Features like street view need a splendid level of image processing, editing and stitching. ...

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Secondly, while spatial information science is sometimes understood to include data capture, and thus photogrammetry and remote sensing, we take the view here that spatial information science is mainly ... Photogrammetry is the science and technology of extracting reliable three-dimensional geometric and thematic information, often over time, of objects and scenes from image and range data. ... University), Professor Stephan Winter (University of Melbourne), for their contributions to the paper. ...

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We found that GSV to be well suited for assessing street-level greenery. ... We explored Google Street View (GSV) as a street-level, urban greenery assessment tool. Street-level greenery has long played a critical role in the visual quality of urban landscapes. ... Remotely sensed data captured by sensors from above (aerial, space) do not capture the street-level, profile view of urban greenery. ...

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Variables such as land-cover, land-use, elevations, surface temperatures, rainfall etc. emanating from earth-observing satellites, complement GIS as this information allows the analysis of disease distribution ... This paper discusses the current capabilities with regard to satellite data collection in terms of resolution (spatial, temporal and spectral) of the sensor instruments on board drawing attention to the ... terrestrial rovers that can show particular views, e.g. street scenes from major cities. ...

<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1590/s0074-02762011000700016">doi:10.1590/s0074-02762011000700016</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/22124563">pmid:22124563</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jnntf3gkuzh2zeomvlauploaui">fatcat:jnntf3gkuzh2zeomvlauploaui</a> </span>

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data to analyze green space exposure inequity at the community level toward a "15-minute city" in Zhengzhou, China. ... However, due to the difficulties in obtaining green space exposure data from a ground-based view, an effective evaluation of the green space exposure inequity at the community level remains challenging ... [44] have studied the relationship between geriatric depression and street view greening obtained by deep learning and street view data using correlation analysis, to ensure effective street greening ...

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and going down into the ultimate data items, through discrete intermediate steps corresponding to structured context and overview levels. ... We propose to identify a set of meaningful categories of information visualization and interaction corresponding to different user goals and exploration spaces, starting from a global universe of discourse ... For example when activating the street view service in Google Maps, the page is automatically divided into subpages to present a pedestrian point of view from a road on the map, a fragment of the 2D map ...

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These CAD-based pixel art-style maps are also widely used in campus map GIS ( Figure 2B) ), which makes high-quality 3D scenes available to users under conditions of limited bandwidth and computational ... The 2.5D maps provider Edushi produces pixel art-style maps from CAD models and delivers these maps to a browser-based web GIS (Figure 2A) , which can run on various devices and platforms. ... field of view and the projected scene remains centered. ...

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