FEATURE POSITIONING ON GOOGLE STREET VIEW PANORAMAS
Location-based services (LBS) on web-based maps and images have come into real-time since Google launched its Street View imaging services in 2007. This research employs Google Maps API and Web Service, GAE for JAVA, AJAX, Proj4js, CSS and HTML in developing an internet platform for accessing the or...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-07-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-4/305/2012/isprsannals-I-4-305-2012.pdf |
| Summary: | Location-based services (LBS) on web-based maps and images have come into real-time since Google launched its Street View
imaging services in 2007. This research employs Google Maps API and Web Service, GAE for JAVA, AJAX, Proj4js, CSS and HTML
in developing an internet platform for accessing the orientation parameters of Google Street View (GSV) panoramas in order to
determine the three dimensional position of interest features that appear on two overlapping panoramas by geometric intersection. A
pair of GSV panoramas was examined using known points located on the Library Building of National Chung Hsing University
(NCHU) with the root-mean-squared errors of ±0.522m, ±1.230m, and ±5.779m for intersection and ±0.142m, ±1.558m, and ±5.733m
for resection in X, Y, and h (elevation), respectively. Potential error sources in GSV positioning were analyzed and illustrated that the
errors in Google provided GSV positional parameters dominate the errors in geometric intersection. The developed system is suitable
for data collection in establishing LBS applications integrated with Google Maps and Google Earth in traffic sign and infrastructure
inventory by adding automatic extraction and matching techniques for points of interest (POI) from GSV panoramas. |
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| ISSN: | 2194-9042 2194-9050 |