Generalized sparse convolutional neural networks for semantic segmentation of point clouds derived from tri-stereo satellite imagery

Stefan Bachhofner; Ana Maria Loghin; Johannes Otepka; Norbert Pfeifer; Michael Hornacek; Andrea Siposova; Niklas Schmidinger; Kurt Hornik; Nikolaus Schiller; Olaf Kähler; Ronald Hochreiter

doi:10.3390/RS12081289

Generalized sparse convolutional neural networks for semantic segmentation of point clouds derived from tri-stereo satellite imagery

Stefan Bachhofner, Ana Maria Loghin, Johannes Otepka, Norbert Pfeifer, Michael Hornacek, Andrea Siposova, Niklas Schmidinger, Kurt Hornik, Nikolaus Schiller, Olaf Kähler, Ronald Hochreiter

Publikation: Beitrag in Fachzeitschrift › Artikel › peer-review

Originalsprache	Englisch
Aufsatznummer	1289
Fachzeitschrift	Remote Sensing
Jahrgang	12
Ausgabenummer	8
DOIs	https://doi.org/10.3390/RS12081289
Publikationsstatus	Veröffentlicht - 1 Apr. 2020
Extern publiziert	Ja

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10.3390/RS12081289

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Bachhofner, S., Loghin, A. M., Otepka, J., Pfeifer, N., Hornacek, M., Siposova, A., Schmidinger, N., Hornik, K., Schiller, N., Kähler, O., & Hochreiter, R. (2020). Generalized sparse convolutional neural networks for semantic segmentation of point clouds derived from tri-stereo satellite imagery. Remote Sensing, 12(8), Artikel 1289. https://doi.org/10.3390/RS12081289

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title = "Generalized sparse convolutional neural networks for semantic segmentation of point clouds derived from tri-stereo satellite imagery",

keywords = "2.5D segmentation, 3D segmentation, Deep learning, Derived point clouds, Image segmentation, Machine learning, Semantic segmentation, Tri-stereo, Very high resolution (VHR) satellite imagery",

author = "Stefan Bachhofner and Loghin, \{Ana Maria\} and Johannes Otepka and Norbert Pfeifer and Michael Hornacek and Andrea Siposova and Niklas Schmidinger and Kurt Hornik and Nikolaus Schiller and Olaf K{\"a}hler and Ronald Hochreiter",

note = "Publisher Copyright: {\textcopyright} 2020 by the authors.",

year = "2020",

month = apr,

day = "1",

doi = "10.3390/RS12081289",

language = "English",

volume = "12",

journal = "Remote Sensing",

issn = "2072-4292",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

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TY - JOUR

T1 - Generalized sparse convolutional neural networks for semantic segmentation of point clouds derived from tri-stereo satellite imagery

AU - Bachhofner, Stefan

AU - Loghin, Ana Maria

AU - Otepka, Johannes

AU - Pfeifer, Norbert

AU - Hornacek, Michael

AU - Siposova, Andrea

AU - Schmidinger, Niklas

AU - Hornik, Kurt

AU - Schiller, Nikolaus

AU - Kähler, Olaf

AU - Hochreiter, Ronald

PY - 2020/4/1

Y1 - 2020/4/1

KW - 2.5D segmentation

KW - 3D segmentation

KW - Deep learning

KW - Derived point clouds

KW - Image segmentation

KW - Machine learning

KW - Semantic segmentation

KW - Tri-stereo

KW - Very high resolution (VHR) satellite imagery

UR - https://www.scopus.com/pages/publications/85085257464

U2 - 10.3390/RS12081289

DO - 10.3390/RS12081289

M3 - Article

AN - SCOPUS:85085257464

SN - 2072-4292

VL - 12

JO - Remote Sensing

JF - Remote Sensing

IS - 8

M1 - 1289

ER -

Generalized sparse convolutional neural networks for semantic segmentation of point clouds derived from tri-stereo satellite imagery

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