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Volumn 2016-November, Issue , 2016, Pages 1591-1594

Fully convolutional networks for building and road extraction: Preliminary results

Author keywords

Deep learning; fully convolutional networks; high spatial resolution imagery; object extraction

Indexed keywords


EID: 85007429390     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2016.7729406     Document Type: Conference Paper
Times cited : (174)

References (13)
  • 1
    • 37249074400 scopus 로고    scopus 로고
    • A stochastic framework for the identification of building rooftops using a single remote sensing image
    • Janurary
    • A. Katartzis, H. Sahli, "A stochastic framework for the identification of building rooftops using a single remote sensing image, " Geoscience and Remote Sensing, IEEE Transactions on, vol. 46, no. 1, pp. 259-271, Janurary 2008.
    • (2008) Geoscience and Remote Sensing, IEEE Transactions on , vol.46 , Issue.1 , pp. 259-271
    • Katartzis, A.1    Sahli, H.2
  • 2
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    • March
    • S. Agarwal, L. S. Vailshery, M. Jaganmohan, H. Nagendra, "Mapping urban tree species using very high resolution satellite imagery: comparing pixel-based and object-based approaches, " ISPRS International Journal of Geo-Information, vol. 2, no. 1, pp. 220-236, March 2013.
    • (2013) ISPRS International Journal of Geo-Information , vol.2 , Issue.1 , pp. 220-236
    • Agarwal, S.1    Vailshery, L.S.2    Jaganmohan, M.3    Nagendra, H.4
  • 3
    • 84869888402 scopus 로고    scopus 로고
    • Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery
    • February
    • S. R. Garrity, C. D. Allen, S. P. Brumby, C. Gangodagamage, N. G. McDowell, D. M. Cai, "Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery, " Remote Sensing of Environment, vol. 129, pp. 54-65, February 2013.
    • (2013) Remote Sensing of Environment , vol.129 , pp. 54-65
    • Garrity, S.R.1    Allen, C.D.2    Brumby, S.P.3    Gangodagamage, C.4    McDowell, N.G.5    Cai, D.M.6
  • 11
    • 84855458471 scopus 로고    scopus 로고
    • Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends
    • February
    • Q. Weng, "Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends, " Remote Sensing of Environment, vol. 117, pp. 34-49, February 2012.
    • (2012) Remote Sensing of Environment , vol.117 , pp. 34-49
    • Weng, Q.1
  • 12
    • 84938846777 scopus 로고    scopus 로고
    • Objectbased land cover mapping and comprehensive feature calculation for an automated derivation of urban structure types at block level
    • November
    • M. Voltersen, C. Berger, S. Hese, C. Schmullius, "Objectbased land cover mapping and comprehensive feature calculation for an automated derivation of urban structure types at block level, " Remote Sensing of Environment, vol. 154, pp. 192-201, November 2014.
    • (2014) Remote Sensing of Environment , vol.154 , pp. 192-201
    • Voltersen, M.1    Berger, C.2    Hese, S.3    Schmullius, C.4
  • 13
    • 84455200427 scopus 로고    scopus 로고
    • A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
    • March
    • D. Duro, S. Franklin, M. Dubé, "A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery, " Remote Sensing of Environment, vol. 118, pp. 259-272, March 2012
    • (2012) Remote Sensing of Environment , vol.118 , pp. 259-272
    • Duro, D.1    Franklin, S.2    Dubé, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.