Deep learning for historical cadastral maps digitization: Overview, challenges and potential

J Ignjatić, B Nikolić, A Rikalović - 2018 - otik.uk.zcu.cz
Cartographic heritage of historical cadastral maps represent remarkable geospatial data.
Historical cadastral maps are generally regarded as an essential part of the land …

Une approche computationnelle du cadastre napoléonien de Venise

I Lenardo, R Barman, F Pardini… - Humanités …, 2021 - journals.openedition.org
Au début du xixᵉ siècle, l'administration napoléonienne impose à la ville de Venise la mise
en place d'un nouveau système de description standardisé pour rendre compte de manière …

Character recognition of MODI script using distance classifier algorithms

S Joseph, JP George, S Gaikwad - ICT Analysis and Applications …, 2020 - Springer
Abstract Machine simulation of human reading is an active research area since the
introduction of digital computers. Optical character recognition aims at the recognition of …

Transform paper-based cadastral data into digital systems using GIS and end-to-end deep learning techniques

J Mango, M Wang, S Mu, D Zhang… - International Journal …, 2023 - Taylor & Francis
Digital systems storing cadastral data in vector format are considered effective due to their
ability of offering interactive services to citizens and other land-related systems. The …

Towards automatic configuration of floorplans for Indoor Positioning System

W Jaworski, P Wilk, M Juszczak… - 2019 International …, 2019 - ieeexplore.ieee.org
Indoor positioning technologies are subject to serious research in recent years. Starting from
low level inertial sensor based, through radio, magnetic or vision based solutions, ending on …

A GIS vectorization model for quad-tree satellite images

S Mesbah, M Kholief, A Mahdy - 2012 22nd International …, 2012 - ieeexplore.ieee.org
Quad tree is a common raster data structure that uses recursive decomposition to divide a
raster into a hierarchy of quadrants. This papers aims to develop a vectorization model for …