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Publikováno v:
ceedings ISPRS geospatial week 2017, 18-22 September 2017, Wuhan, China, 247-254
STARTPAGE=247;ENDPAGE=254;TITLE=ceedings ISPRS geospatial week 2017, 18-22 September 2017, Wuhan, China
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W7, Pp 247-254 (2017)
STARTPAGE=247;ENDPAGE=254;TITLE=ceedings ISPRS geospatial week 2017, 18-22 September 2017, Wuhan, China
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W7, Pp 247-254 (2017)
Road furniture semantic labelling is vital for large scale mapping and autonomous driving systems. Much research has been investigated on road furniture interpretation in both 2D images and 3D point clouds. Precise interpretation of road furniture in
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1-W1, Pp 599-605 (2017)
Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany, 599-605
STARTPAGE=599;ENDPAGE=605;TITLE=Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany
Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany, 599-605
STARTPAGE=599;ENDPAGE=605;TITLE=Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany
Unmanned Aerial Vehicles (UAVs) have gained popularity in acquiring geotagged, low cost and high resolution images. However, the images acquired by UAV-borne cameras often have poor georeferencing information, because of the low quality on-board Glob
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W2, Pp 257-262 (2013)
Proceedings of ISPRS Conference on Serving society with geoinformatics, ISPRS2013-SSG, 11-17 November 2013, Antalya, Turkey : ISPRS Archives-Volume XL-7/W2, 257-262
STARTPAGE=257;ENDPAGE=262;TITLE=Proceedings of ISPRS Conference on Serving society with geoinformatics, ISPRS2013-SSG, 11-17 November 2013, Antalya, Turkey : ISPRS Archives-Volume XL-7/W2
Proceedings of ISPRS Conference on Serving society with geoinformatics, ISPRS2013-SSG, 11-17 November 2013, Antalya, Turkey : ISPRS Archives-Volume XL-7/W2, 257-262
STARTPAGE=257;ENDPAGE=262;TITLE=Proceedings of ISPRS Conference on Serving society with geoinformatics, ISPRS2013-SSG, 11-17 November 2013, Antalya, Turkey : ISPRS Archives-Volume XL-7/W2
High density point clouds of urban scenes are used to identify object classes like buildings, vegetation, vehicles, ground, and water. Point cloud segmentation can support classification and further feature extraction provided that the segments are l
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2021
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 47-52 (2021)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 47-52 (2021)
Visual Relocalization is a key technology in many computer vision applications. Traditional visual relocalization is mainly achieved through geometric methods, while PoseNet introduces convolutional neural network in visual relocalization for the fir