Results 51 to 60 of about 144,476 (194)

Beyond Urban Versus Rural: [PDF]

open access: yes, 2017
In this brief, authors Dante Scala and Kenneth Johnson examine voting patterns over the last five presidential elections. They report that although rural voters and urban voters are often portrayed as polar opposites, their differences are best ...
Johnson, Kenneth M., Scala, Dante J.
core   +1 more source

Feature-based groupwise registration of historical aerial images to present-day ortho-photo maps

open access: yes, 2018
In this paper, we address the registration of historical WWII images to present-day ortho-photo maps for the purpose of geolocalization. Due to the challenging nature of this problem, we propose to register the images jointly as a group rather than in a ...
Zambanini, Sebastian
core   +2 more sources

Combining Parametric and Non-parametric Algorithms for a Partially Unsupervised Classification of Multitemporal Remote-Sensing Images [PDF]

open access: yes, 2002
In this paper, we propose a classification system based on a multiple-classifier architecture, which is aimed at updating land-cover maps by using multisensor and/or multisource remote-sensing images.
Bruzzone, Lorenzo   +2 more
core   +1 more source

Practice of Electronic Interaction between the Government and the Population in the Sverdlovsk Region

open access: yesРегионология
Introduction. The issue of interaction between the government and the population has long been actively discussed in the scientific literature, since the degree of involvement of the population in the management of the region and the municipality shows ...
Elena N. Zaborova
doaj   +1 more source

Robust Feature Matching for 3D Point Clouds with Progressive Consistency Voting

open access: yesSensors, 2022
Feature matching for 3D point clouds is a fundamental yet challenging problem in remote sensing and 3D computer vision. However, due to a number of nuisances, the initial feature correspondences generated by matching local keypoint descriptors may ...
Siwen Quan   +3 more
doaj   +1 more source

Art Neural Networks for Remote Sensing: Vegetation Classification from Landsat TM and Terrain Data [PDF]

open access: yes, 1995
A new methodology for automatic mapping from Landsat Thematic Mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed. System capabilities are tested on a challenging remote sensing classification problem, using spectral and ...
Carpenter, Gail A.   +3 more
core   +3 more sources

Mosaic: a secure and practical remote voting system

open access: yesInternational Journal of Autonomic Computing, 2014
This paper presents Mosaic a practical and secure e-voting system. Compared to existing remote e-voting systems, Mosaic is practical since it deals with availability, ease of usage and scalability in addition to the implementation of an efficient security scheme.
Takoua Abdellatif, Ahmed Adouani
openaire   +1 more source

Participation politique des Égyptiens résidant en France : vers la construction d’une citoyenneté en migration ?

open access: yesRevue Européenne des Migrations Internationales, 2015
The revolutionary process that began in Egypt in January 2011 has given rise to a new actor in Egyptian political space: the voter living abroad. This research note discusses remote voting Egyptians living in France. It is based on an ongoing field study
Célia Lamblin
doaj   +1 more source

Cryptographic algorithms for communicating results from distributed electronic voting systems [PDF]

open access: yes, 2005
Electronic voting systems are increasingly used in electoral processes ranging from specialized stand alone machines, up to complete paperless and remote voting system. Votes secrecy and confidence are necessary in any electoral process.
Villagarcía Wanza, Horacio Alfredo
core   +1 more source

Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods [PDF]

open access: yes, 2013
Hyperspectral images show similar statistical properties to natural grayscale or color photographic images. However, the classification of hyperspectral images is more challenging because of the very high dimensionality of the pixels and the small number
Benediktsson, Jón Atli   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy