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Stereo Matching and Digital Surface Model Generation for Satellite Imagery: From Scanline Aggregation to Deep Learning with RAFTStereo.

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Bibliographic Details
Title: Stereo Matching and Digital Surface Model Generation for Satellite Imagery: From Scanline Aggregation to Deep Learning with RAFTStereo.
Authors: Sayın, Yazgı Nur1,2, Ok, Ali Özgün1,3
Source: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2025, Vol. 48 Issue 1/W6, p205-211, 7p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190672343
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190672343
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    Identifiers:
      – Type: doi
        Value: 10.5194/isprs-archives-XLVIII-1-W6-2025-205-2025
    Languages:
      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 205
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      – TitleFull: Stereo Matching and Digital Surface Model Generation for Satellite Imagery: From Scanline Aggregation to Deep Learning with RAFTStereo.
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            NameFull: Sayın, Yazgı Nur
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            NameFull: Ok, Ali Özgün
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              Text: 2025
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              Y: 2025
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