Austrian cadastral map
Abstract
Many Venetian maps and cadasters were digitized in the Venice Time Machine project. Cadastral maps offer a detailed representation of properties in a specific area. As a part of the Time Machine, a pipeline was created to extract geometries from the 1808 Napoleonian cadastral map of Venice. The goal of this project is to use this pipeline to extract geometries from the 1848 Austrian cadaster and adapt it as necessary. The extracted geometries could then be used to compare the different shapes of the city of Venice in 1808, 1848 and eventually today.
Planning
Project steps
1. First overview
- Install the pipeline used on the 1808 cadaster and train a few models on it (done)
- Use the models trained to predict geometries on the Austrian cadaster (done)
2. Training on the Austrian cadaster
- Georeference the Austrian cadaster
- Prepare training data from the Austrian cadaster (make masks)
- Adapt model to the Austrian cadaster
- Train models on the prepared data
- Evaluate models
3. Optimizing of post-processing
- Understand the post-processing done on the probability maps
- Research similar solutions
- Try to optimize post-processing
4. Extensions (if time)
- Compare new 1848 geometries to 1808 ones
- Make some statistics on the similarities/differences
Timetable
| Timeframe | Model | Post-processing |
|---|---|---|
| Weeks 8-10 | Finish georeferencing | Examine post-processing |
| Week 10-11 | Prepare training data from Austrian cadaster, adapt model | |
| Weeks 11-13 | Train and test models on Austrian cadaster | Research and optimize post-processing |
| Week 13 | Combine and evaluate results | If time, compare with 1808 geometries |
| Week 14 | Final Project presentation |
Methods
* DHSegment-torch : Historical document segmentation has been an issue in Digital Humanities for a number of years, due to the diversity of these documents. DHSegment is a method that uses a generic CNN-architecture that can be used for multiple different processing tasks.