KNOWLEDGE BASED 3D BUILDING MODEL RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS FROM LIDAR AND AERIAL IMAGERIES
In recent years, with the development of the high resolution data acquisition technologies, many different approaches and algorithms have been presented to extract the accurate and timely updated 3D models of buildings as a key element of city structures for numerous applications in urban mapping. I...
Main Authors: | F. Alidoost, H. Arefi |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-06-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/833/2016/isprs-archives-XLI-B3-833-2016.pdf |
Similar Items
-
BUILDING OUTLINE EXTRACTION FROM AERIAL IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
by: F. Alidoost, et al.
Published: (2019-10-01) -
Y-SHAPED CONVOLUTIONAL NEURAL NETWORK FOR 3D ROOF ELEMENTS EXTRACTION TO RECONSTRUCT BUILDING MODELS FROM A SINGLE AERIAL IMAGE
by: F. Alidoost, et al.
Published: (2020-08-01) -
AERIAL IMAGERY AND LIDAR DATA FUSION FOR UNAMBIGUOUS EXTRACTION OF ADJACENT LEVEL-BUILDINGS’ FOOTPRINTS
by: S. Mola Ebrahimi, et al.
Published: (2017-09-01) -
AUTOMATIC ROAD EXTRACTION BASED ON INTEGRATION OF HIGH RESOLUTION LIDAR AND AERIAL IMAGERY
by: S. Rahimi, et al.
Published: (2015-12-01) -
SINGLE-IMAGE DEHAZING ON AERIAL IMAGERY USING CONVOLUTIONAL NEURAL NETWORKS
by: M. Madadikhaljan, et al.
Published: (2019-10-01)