Investigations on skip-connections with an additional cosine similarity loss for land cover classification

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: Yang, C; Rottensteiner, F.; Heipke, C.: Investigations on skip-connections with an additional cosine similarity loss for land cover classification. In: Paparoditis, N. et.al. (Eds.): XXIV ISPRS Congress, Commission III : edition 2020. Katlenburg-Lindau : Copernicus Publications, 2020 (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; volume 5,3), S. 339-346. DOI: https://doi.org/10.5194/isprs-Annals-V-3-2020-339-2020

Event: Veröffentlichung

(where): Hannover

(who): Gottfried Wilhelm Leibniz Universität Hannover

(when): 2020

Event: Veröffentlichung

(where): Hannover

(who): Technische Informationsbibliothek (TIB)

(when): 2020

Creator: Yang, Chuan
Rottensteiner, Franz
Heipke, Christian

DOI: 10.15488/10885

URN: urn:nbn:de:101:1-2021051302300527134438

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:50 AM CEST

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Associated

Yang, Chuan
Rottensteiner, Franz
Heipke, Christian
Gottfried Wilhelm Leibniz Universität Hannover
Technische Informationsbibliothek (TIB)

Time of origin

2020

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Investigations on skip-connections with an additional cosine similarity loss for land cover classification

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Other Objects (12)

CLASSIFICATION OF LAND COVER AND LAND USE BASED ON CONVOLUTIONAL NEURAL NETWORKS

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Deep learning for geometric and semantic tasks in photogrammetry and remote sensing

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Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks

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