Fully automatic CityGML-compliant city model derivation on demand

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1 to 10 of 200 Results

Generation of 3D Building Models from Archived City Area Maps by Fusing Information from Multiple Sources.pdf Aug 12, 2020 - Source code to generate LoD1 CityGML models from city area maps Adobe PDF - 14.8 MB - MD5: d15f7b1de909fcfa3ab5b6ac8a7f9b2e This paper proposes a pipeline for the automatic generation of 3D building models for city areas based on information from archived city area maps.
CityGMLGui.py Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail Python Source Code - 2.3 KB - MD5: 899dff95ff178bd0e56478e96ec8580b
FZK-Haus-LoD1-KIT-IAI-KHH-B36-V1.gml Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail application/gml+xml - 7.4 KB - MD5: 500ad271f6c72352ecf6e7833ef83095
FZK-Haus-LoD2-KIT-IAI-KHH-B36-V1.gml Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail application/gml+xml - 16.1 KB - MD5: ca15ea9b8514e423923e513d38733070
FZK-Haus-LoD3-KIT-IAI-KHH-B36-V1.gml Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail application/gml+xml - 283.4 KB - MD5: 03c4ae9bb804b122e284a848474a3f09
FZK-Haus-LoD4-KIT-IAI-KHH-B36-V1.gml Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail application/gml+xml - 15.9 MB - MD5: 63c586b21807fa36d4d0cadd710a87c3
gml2to1.py Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail Python Source Code - 13.4 KB - MD5: f6f9bef2cfafc1877d7f628a90d98486
gml3to2.py Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail Python Source Code - 6.0 KB - MD5: 54f7b072b07057bcce17d45aaafd9c50
gml4to3.py Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail Python Source Code - 3.2 KB - MD5: 23753b07590f0bdaffc401df32b03ab8
gmlGen.zip Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail ZIP Archive - 67.0 MB - MD5: 5cea76ac76c3b1bf5cbcff31142d7f44 This is the CityGML LOD derivation module that developed by Fraunhofer Singaproe. It was written in Python 2.7. It has the following main modules: 1. CityGMLGui.py to handle input/output CityGML files, invoke a viewer as well as invoke desired LOD generation. 2. gml4to3.py to...

Generation of 3D Building Models from Archived City Area Maps by Fusing Information from Multiple Sources.pdf

Aug 12, 2020 - Source code to generate LoD1 CityGML models from city area maps

Adobe PDF - 14.8 MB -

This paper proposes a pipeline for the automatic generation of 3D building models for city areas based on information from archived city area maps.

CityGMLGui.py

Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail

Python Source Code - 2.3 KB -

FZK-Haus-LoD1-KIT-IAI-KHH-B36-V1.gml

Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail

application/gml+xml - 7.4 KB -

FZK-Haus-LoD2-KIT-IAI-KHH-B36-V1.gml

Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail

application/gml+xml - 16.1 KB -

FZK-Haus-LoD3-KIT-IAI-KHH-B36-V1.gml

Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail

application/gml+xml - 283.4 KB -

FZK-Haus-LoD4-KIT-IAI-KHH-B36-V1.gml

Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail

application/gml+xml - 15.9 MB -

gml2to1.py

Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail

Python Source Code - 13.4 KB -

gml3to2.py

Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail

Python Source Code - 6.0 KB -

gml4to3.py

Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail

Python Source Code - 3.2 KB -

gmlGen.zip

Aug 11, 2020 - Source code and sample input CityGML models for automatic derivation of lower levels of detail

ZIP Archive - 67.0 MB -

This is the CityGML LOD derivation module that developed by Fraunhofer Singaproe. It was written in Python 2.7. It has the following main modules: 1. CityGMLGui.py to handle input/output CityGML files, invoke a viewer as well as invoke desired LOD generation. 2. gml4to3.py to...

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