Novel fusion approach on automatic object extraction from spatial data: case study Worldview-2 and TOPO5000

The automatic extraction of information content from remotely sensed data is always challenging. We suggest a novel fusion approach to improve the extraction of this information from mono-satellite images. A Worldview-2 (WV-2) pan-sharpened image and a 1/5000-scaled topographic vector map (TOPO5000) were used as the sample data. Firstly, the buildings and roads were manually extracted from WV-2 to point out the maximum extractable information content. Subsequently, object-based automatic extractions were performed. After achieving two-dimensional results, a normalized digital surface model (nDSM) was generated from the underlying digital aerial photos of TOPO5000, and the automatic extraction was repeated by fusion with the nDSM to include individual object heights as an additional band for classification. The contribution was tested by precision, completeness and overall quality. Novel fusion technique increased the success of automatic extraction by 7% for the number of buildings and by 23% for the length of roads. © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.

Yazar Sefercik U.G.
Karakis S.
Atalay C.
Yigit I.
Gokmen U.
Yayın Türü Article
Tek Biçim Adres https://hdl.handle.net/20.500.12628/6785
Tek Biçim Adres 10.1080/10106049.2017.1353646
Konu Başlıkları Automatic object extraction
fusion
normalized digital surface model
Wallis filtering
worldview-2
Koleksiyonlar Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed | SOBİAD
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu
Dergi Adı Geocarto International
Dergi Cilt Bilgisi 33
Dergi Sayısı 10
Sayfalar 1139 - 1154
Yayın Yılı 2018
Eser Adı
[dc.title]
Novel fusion approach on automatic object extraction from spatial data: case study Worldview-2 and TOPO5000
Yazar
[dc.contributor.author]
Sefercik U.G.
Yazar
[dc.contributor.author]
Karakis S.
Yazar
[dc.contributor.author]
Atalay C.
Yazar
[dc.contributor.author]
Yigit I.
Yazar
[dc.contributor.author]
Gokmen U.
Yayın Yılı
[dc.date.issued]
2018
Yayıncı
[dc.publisher]
Taylor and Francis Ltd.
Yayın Türü
[dc.type]
article
Özet
[dc.description.abstract]
The automatic extraction of information content from remotely sensed data is always challenging. We suggest a novel fusion approach to improve the extraction of this information from mono-satellite images. A Worldview-2 (WV-2) pan-sharpened image and a 1/5000-scaled topographic vector map (TOPO5000) were used as the sample data. Firstly, the buildings and roads were manually extracted from WV-2 to point out the maximum extractable information content. Subsequently, object-based automatic extractions were performed. After achieving two-dimensional results, a normalized digital surface model (nDSM) was generated from the underlying digital aerial photos of TOPO5000, and the automatic extraction was repeated by fusion with the nDSM to include individual object heights as an additional band for classification. The contribution was tested by precision, completeness and overall quality. Novel fusion technique increased the success of automatic extraction by 7% for the number of buildings and by 23% for the length of roads. © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Dili
[dc.language.iso]
eng
Konu Başlıkları
[dc.subject]
Automatic object extraction
Konu Başlıkları
[dc.subject]
fusion
Konu Başlıkları
[dc.subject]
normalized digital surface model
Konu Başlıkları
[dc.subject]
Wallis filtering
Konu Başlıkları
[dc.subject]
worldview-2
Haklar
[dc.rights]
info:eu-repo/semantics/closedAccess
ISSN
[dc.identifier.issn]
1010-6049
İlk Sayfa Sayısı
[dc.identifier.startpage]
1139
Son Sayfa Sayısı
[dc.identifier.endpage]
1154
Dergi Adı
[dc.relation.journal]
Geocarto International
Dergi Sayısı
[dc.identifier.issue]
10
Dergi Cilt Bilgisi
[dc.identifier.volume]
33
Tek Biçim Adres
[dc.identifier.uri]
https://dx.doi.org/10.1080/10106049.2017.1353646
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/6785
Görüntülenme Sayısı ( Şehir )
Görüntülenme Sayısı ( Ülke )
Görüntülenme Sayısı ( Zaman Dağılımı )
Görüntülenme
197
09.12.2022 tarihinden bu yana
İndirme
1
09.12.2022 tarihinden bu yana
Son Erişim Tarihi
11 Haziran 2024 07:45
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Tıklayınız
extraction automatic information fusion buildings digital content include additional heights object individual underlying Francis repeated TOPO5000 photos aerial Taylor Informa length number success increased technique classification quality overall completeness precision tested Limited contribution trading generated
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