Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple F...
Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple Features and Ensemble Learning
About this item
Full title
Author / Creator
Wang, Xin , Liu, Sicong , Du, Peijun , Liang, Hao , Xia, Junshi and Li, Yunfeng
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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More information
Scope and Contents
Contents
To improve the accuracy of change detection in urban areas using bi-temporal high-resolution remote sensing images, a novel object-based change detection scheme combining multiple features and ensemble learning is proposed in this paper. Image segmentation is conducted to determine the objects in bi-temporal images separately. Subsequently, three k...
Alternative Titles
Full title
Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple Features and Ensemble Learning
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_5e836c55cffb433f93a9cbccea5ec30f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5e836c55cffb433f93a9cbccea5ec30f
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs10020276
