A support vector regression approach for building seismic vulnerability assessment and evaluation from remote sensing and in-situ data
type: Dataset
description: International audience
issued: 2026-05-12T23:21:23.063529
language: en
modified: 2026-05-12T23:21:23.063535
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: in-situ-data
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
keyword: remote-sensing-data
keyword: seismic-vulnerability
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: support-vector-machine-regression
keyword: urban-area
landing page: IGARSS 2012 - IEEE International Geoscience and Remote Sensing Symposium

A support vector regression approach for building seismic vulnerability assessment and evaluation from remote sensing and in-situ data
type: Distribution
format: HTML
issued: 2026-05-12T23:21:23.112670
modified: 2026-05-12T23:21:23.033106
access URL: https://hal.science/hal-00799665

test_moissonnage_selune
type: Agent