Ferdinand Ludwig
Biographic Data
| ID | 6940318 |
|---|---|
| NAME | Ferdinand Ludwig |
| GIVEN NAMES | Ferdinand |
| FAMILY NAME | Ludwig |
| SIGNATURE | LUDWIG F |
| AFFILIATIONS | Technical University of Munich |
| ORCID | 0000-0001-5877-5675 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Creating ecologically sound buildings by integrating ecology, architecture and computational design
Research is revealing an increasing number of positive effects of nature for humans. At the same time, biodiversity in cities, where most humans live, is often low or in decline. Tangible solutions are needed to increase urban biodiversity. Architecture is a key discipline that has considerable influence on the built‐up area of cities, thereby influencing urban biodiversity. In general, architects do not design for biodiversity. Conversely, urban…
Deep Learning in Historical Architecture Remote Sensing: Automated Historical Courtyard House Recognition in Yazd, Iran
This research paper reports the process and results of a project to automatically classify historical and non-historical buildings using airborne and satellite imagery. The case study area is the center of Yazd, the most important historical site in Iran. New computational scientific methods and accessibility to satellite images have created more opportunities to work on automated historical architecture feature recognition. Building on this, a c…
Deep Learning in Historical Architecture Remote Sensing: Automated Historical Courtyard House Recognition in Yazd, Iran
This research paper reports the process and results of a project to automatically classify historical and non-historical buildings using airborne and satellite imagery. The case study area is the center of Yazd, the most important historical site in Iran. New computational scientific methods and accessibility to satellite images have created more opportunities to work on automated historical architecture feature recognition. Building on this, a c…
Deep Learning in Historical Architecture Remote Sensing: Automated Historical Courtyard House Recognition in Yazd, Iran
This research paper reports the process and results of a project to automatically classify historical and non-historical buildings using airborne and satellite imagery. The case study area is the center of Yazd, the most important historical site in Iran. New computational scientific methods and accessibility to satellite images have created more opportunities to work on automated historical architecture feature recognition. Building on this, a c…
Creating ecologically sound buildings by integrating ecology, architecture and computational design
Research is revealing an increasing number of positive effects of nature for humans. At the same time, biodiversity in cities, where most humans live, is often low or in decline. Tangible solutions are needed to increase urban biodiversity. Architecture is a key discipline that has considerable influence on the built‐up area of cities, thereby influencing urban biodiversity. In general, architects do not design for biodiversity. Conversely, urban…
Architecture (2 works) · Computer Science (2 works) · Engineering (2 works) · Geography (2 works) · Archaeological Research and Protection (1 works) · Archaeology (1 works) · Architectural engineering (1 works) · Artificial Intelligence (1 works) · Biodiversity (1 works) · Biology (1 works)