DEAD WOOD DETECTION BASED ON SEMANTIC SEGMENTATION OF VHR AERIAL CIR IMAGERY USING OPTIMIZED FCN-DENSENET

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: DEAD WOOD DETECTION BASED ON SEMANTIC SEGMENTATION OF VHR AERIAL CIR IMAGERY USING OPTIMIZED FCN-DENSENET ; volume:XLII-2/W16 ; year:2019 ; pages:127-133
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLII-2/W16 (2019), 127-133

Creator: Jiang, S.
Yao, W.
Heurich, M.

DOI: 10.5194/isprs-archives-XLII-2-W16-127-2019

URN: urn:nbn:de:101:1-2019091904580309741276

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:22 AM CEST

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Jiang, S.
Yao, W.
Heurich, M.

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DEAD WOOD DETECTION BASED ON SEMANTIC SEGMENTATION OF VHR AERIAL CIR IMAGERY USING OPTIMIZED FCN-DENSENET

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