INACITY - INvestigate and Analyze a CITY

INACITY is a platform that integrates Geo-located Imagery Databases (GIDs), Geographical Information Systems (GIS), digital maps, and Computer Vision (CV) to collect and analyze urban street-level images. The platform’s software architecture is a client–server model, where the client-side is a simpl...

Full description

Saved in:
Bibliographic Details
Published in:SoftwareX 2021-07, Vol.15, p.100777, Article 100777
Main Authors: Almeida de Macedo Oliveira, Artur André, Hirata, Roberto
Format: Article
Language:English
Subjects:
Computer vision
Geographical information system
Geoportal
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c414t-c2c44590fad33c7accb669a6503fa12604c330f6bc5aa49fb3a70646884f3ecc3
cites cdi_FETCH-LOGICAL-c414t-c2c44590fad33c7accb669a6503fa12604c330f6bc5aa49fb3a70646884f3ecc3
container_end_page
container_issue
container_start_page 100777
container_title SoftwareX
container_volume 15
creator Almeida de Macedo Oliveira, Artur André
Hirata, Roberto
description INACITY is a platform that integrates Geo-located Imagery Databases (GIDs), Geographical Information Systems (GIS), digital maps, and Computer Vision (CV) to collect and analyze urban street-level images. The platform’s software architecture is a client–server model, where the client-side is a simple Web page that allows the user to select regions of a map and select filters to analyze and visualize urban features. The server side is a Django-powered Web service with PostgreSQL and Neo4j databases. Users can select a region of a map, an image filter, and geographical features to analyze relevant urban characteristics as trees, for instance, using the platform. An open-source implementation of the platform is available. The architecture is extensible, and it is easy to add new modules or replace the existing ones with new digital maps, GIS databases, other CV filters, or other GIDs.
doi_str_mv 10.1016/j.softx.2021.100777
format article
fullrecord <record><control><sourceid>elsevier_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_b1e658cdbe3e49be8fa697a2b97a28bc</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2352711021000911</els_id><doaj_id>oai_doaj_org_article_b1e658cdbe3e49be8fa697a2b97a28bc</doaj_id><sourcerecordid>S2352711021000911</sourcerecordid><originalsourceid>FETCH-LOGICAL-c414t-c2c44590fad33c7accb669a6503fa12604c330f6bc5aa49fb3a70646884f3ecc3</originalsourceid><addsrcrecordid>eNp9kE9Lw0AQxRdRsNR-Ai85ekndf9kkBw-lqA2UeqkHT8vsZLdsqI3shmL99CaNiCcvM8Nj3mPmR8gto3NGmbpv5rF13eecU856heZ5fkEmXGQ8zRmjl3_mazKLsaGUsowXGZcTcldtFstq-5akSbU52tj5HXQ2gUOdLA6wP331czIs3JArB_toZz99Sl6fHrfLVbp-ea6Wi3WKkskuRY5SZiV1UAuBOSAapUpQGRUOGFdUohDUKYMZgCydEZBTJVVRSCcsopiSasytW2j0R_DvEE66Ba_PQht2GkLncW-1YVZlBdbGCitLYwsHqsyBm6EUZsgSYxaGNsZg3W8eo3pgpxt9ZqcHdnpk17seRpft3zx6G3REbw9oax8sdv0d_l__N_gZdgU</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>INACITY - INvestigate and Analyze a CITY</title><source>ScienceDirect (Online service)</source><creator>Almeida de Macedo Oliveira, Artur André ; Hirata, Roberto</creator><creatorcontrib>Almeida de Macedo Oliveira, Artur André ; Hirata, Roberto</creatorcontrib><description>INACITY is a platform that integrates Geo-located Imagery Databases (GIDs), Geographical Information Systems (GIS), digital maps, and Computer Vision (CV) to collect and analyze urban street-level images. The platform’s software architecture is a client–server model, where the client-side is a simple Web page that allows the user to select regions of a map and select filters to analyze and visualize urban features. The server side is a Django-powered Web service with PostgreSQL and Neo4j databases. Users can select a region of a map, an image filter, and geographical features to analyze relevant urban characteristics as trees, for instance, using the platform. An open-source implementation of the platform is available. The architecture is extensible, and it is easy to add new modules or replace the existing ones with new digital maps, GIS databases, other CV filters, or other GIDs.</description><identifier>ISSN: 2352-7110</identifier><identifier>EISSN: 2352-7110</identifier><identifier>DOI: 10.1016/j.softx.2021.100777</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Computer vision ; Geographical information system ; Geoportal</subject><ispartof>SoftwareX, 2021-07, Vol.15, p.100777, Article 100777</ispartof><rights>2021 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c414t-c2c44590fad33c7accb669a6503fa12604c330f6bc5aa49fb3a70646884f3ecc3</citedby><cites>FETCH-LOGICAL-c414t-c2c44590fad33c7accb669a6503fa12604c330f6bc5aa49fb3a70646884f3ecc3</cites><orcidid>0000-0002-3606-1687</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2352711021000911$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3536,27901,27902,45756</link.rule.ids></links><search><creatorcontrib>Almeida de Macedo Oliveira, Artur André</creatorcontrib><creatorcontrib>Hirata, Roberto</creatorcontrib><title>INACITY - INvestigate and Analyze a CITY</title><title>SoftwareX</title><description>INACITY is a platform that integrates Geo-located Imagery Databases (GIDs), Geographical Information Systems (GIS), digital maps, and Computer Vision (CV) to collect and analyze urban street-level images. The platform’s software architecture is a client–server model, where the client-side is a simple Web page that allows the user to select regions of a map and select filters to analyze and visualize urban features. The server side is a Django-powered Web service with PostgreSQL and Neo4j databases. Users can select a region of a map, an image filter, and geographical features to analyze relevant urban characteristics as trees, for instance, using the platform. An open-source implementation of the platform is available. The architecture is extensible, and it is easy to add new modules or replace the existing ones with new digital maps, GIS databases, other CV filters, or other GIDs.</description><subject>Computer vision</subject><subject>Geographical information system</subject><subject>Geoportal</subject><issn>2352-7110</issn><issn>2352-7110</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kE9Lw0AQxRdRsNR-Ai85ekndf9kkBw-lqA2UeqkHT8vsZLdsqI3shmL99CaNiCcvM8Nj3mPmR8gto3NGmbpv5rF13eecU856heZ5fkEmXGQ8zRmjl3_mazKLsaGUsowXGZcTcldtFstq-5akSbU52tj5HXQ2gUOdLA6wP331czIs3JArB_toZz99Sl6fHrfLVbp-ea6Wi3WKkskuRY5SZiV1UAuBOSAapUpQGRUOGFdUohDUKYMZgCydEZBTJVVRSCcsopiSasytW2j0R_DvEE66Ba_PQht2GkLncW-1YVZlBdbGCitLYwsHqsyBm6EUZsgSYxaGNsZg3W8eo3pgpxt9ZqcHdnpk17seRpft3zx6G3REbw9oax8sdv0d_l__N_gZdgU</recordid><startdate>202107</startdate><enddate>202107</enddate><creator>Almeida de Macedo Oliveira, Artur André</creator><creator>Hirata, Roberto</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3606-1687</orcidid></search><sort><creationdate>202107</creationdate><title>INACITY - INvestigate and Analyze a CITY</title><author>Almeida de Macedo Oliveira, Artur André ; Hirata, Roberto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c414t-c2c44590fad33c7accb669a6503fa12604c330f6bc5aa49fb3a70646884f3ecc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Computer vision</topic><topic>Geographical information system</topic><topic>Geoportal</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Almeida de Macedo Oliveira, Artur André</creatorcontrib><creatorcontrib>Hirata, Roberto</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>SoftwareX</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Almeida de Macedo Oliveira, Artur André</au><au>Hirata, Roberto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>INACITY - INvestigate and Analyze a CITY</atitle><jtitle>SoftwareX</jtitle><date>2021-07</date><risdate>2021</risdate><volume>15</volume><spage>100777</spage><pages>100777-</pages><artnum>100777</artnum><issn>2352-7110</issn><eissn>2352-7110</eissn><abstract>INACITY is a platform that integrates Geo-located Imagery Databases (GIDs), Geographical Information Systems (GIS), digital maps, and Computer Vision (CV) to collect and analyze urban street-level images. The platform’s software architecture is a client–server model, where the client-side is a simple Web page that allows the user to select regions of a map and select filters to analyze and visualize urban features. The server side is a Django-powered Web service with PostgreSQL and Neo4j databases. Users can select a region of a map, an image filter, and geographical features to analyze relevant urban characteristics as trees, for instance, using the platform. An open-source implementation of the platform is available. The architecture is extensible, and it is easy to add new modules or replace the existing ones with new digital maps, GIS databases, other CV filters, or other GIDs.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.softx.2021.100777</doi><orcidid>https://orcid.org/0000-0002-3606-1687</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2352-7110
ispartof SoftwareX, 2021-07, Vol.15, p.100777, Article 100777
issn 2352-7110
2352-7110
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_b1e658cdbe3e49be8fa697a2b97a28bc
source ScienceDirect (Online service)
subjects Computer vision
Geographical information system
Geoportal
title INACITY - INvestigate and Analyze a CITY
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T09%3A55%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=INACITY%20-%20INvestigate%20and%20Analyze%20a%20CITY&rft.jtitle=SoftwareX&rft.au=Almeida%20de%20Macedo%20Oliveira,%20Artur%20Andr%C3%A9&rft.date=2021-07&rft.volume=15&rft.spage=100777&rft.pages=100777-&rft.artnum=100777&rft.issn=2352-7110&rft.eissn=2352-7110&rft_id=info:doi/10.1016/j.softx.2021.100777&rft_dat=%3Celsevier_doaj_%3ES2352711021000911%3C/elsevier_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c414t-c2c44590fad33c7accb669a6503fa12604c330f6bc5aa49fb3a70646884f3ecc3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true