Austrian cadastral map: Difference between revisions

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== Planning ==
== Planning ==
=== Project steps ===
'''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)
'''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
'''Optimize post-processing'''
* Understand the post-processing done on the probability maps
* Research similar solutions
* Try to optimize post-processing
'''Extensions (if time)'''
* Compare new 1848 geometries to 1808 ones
* Make some statistics on the similarities/differences
=== Timetable ===


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== Venetian cadasters ==
== Venetian cadasters ==

Revision as of 13:13, 16 November 2020

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

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)

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

Optimize post-processing

  • Understand the post-processing done on the probability maps
  • Research similar solutions
  • Try to optimize post-processing

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

Venetian cadasters

Methods

  • DHSegment-torch
  • Post-processing


Evaluation