Building and Tree Parameterization in Partiallyoccluded 2.5D DSM Data
Automatic 3D building reconstruction has been a hot research area; a task which has been done manually even up today. Automating the task of building reconstruction enables more applications where up to date information is of great importance. This thesis proposes a system to extract parametric buil...
Main Author: | Källström, Johan |
---|---|
Format: | Others |
Language: | English |
Published: |
Linköpings universitet, Institutionen för systemteknik
2015
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-125130 |
Similar Items
-
Extracting Building Areas from Photogrammetric DSM and DOM by Automatically Selecting Training Samples from Historical DLG Data
by: Siyang Chen, et al.
Published: (2020-01-01) -
Building Extraction Based on an Optimized Stacked Sparse Autoencoder of Structure and Training Samples Using LIDAR DSM and Optical Images
by: Yiming Yan, et al.
Published: (2017-08-01) -
Numerical Analysis of Flow in Building Arrangement: Computational Domain Discretization
by: Marcin Sosnowski, et al.
Published: (2019-03-01) -
The Creation of Space Vector Models of Buildings From RPAS Photogrammetry Data
by: Trhan Ondrej
Published: (2017-06-01) -
Exploitation of Digital Surface Models from Optical Satellites for the Identification of Buildings in High Resolution SAR Imagery
by: Ilehag, Rebecca
Published: (2016)