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Volumn , Issue , 2014, Pages 181-184

Fusion of hyperspectral and LiDAR data in classification of urban areas

Author keywords

data fusion; hyperspectral; LiDAR; random forest; supervised feature extraction

Indexed keywords

DATA FUSION; DECISION TREES; EXTRACTION; FEATURE EXTRACTION; OPTICAL RADAR;

EID: 84911439068     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2014.6946386     Document Type: Conference Paper
Times cited : (16)

References (10)
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    • Spectral-spatial classification of hyperspectral images based on hidden Markov random fields
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    • P. Ghamisi, J. Benediktsson, and M. Ulfarsson, "Spectral-spatial classification of hyperspectral images based on hidden Markov random fields," IEEE Trans. Geosci. and Remote Sens., to appear 2014.
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    • Ghamisi, P.1    Benediktsson, J.2    Ulfarsson, M.3
  • 5
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    • J. A. Palmason, J. A. Benediktsson, J. R. Sveinsson, and J. Chanussot, "Classication of hyperspectral data from urban areas using morphological preprocessing and independent component analysis," Pr. IGARSS 2005, pp. 176-179, 2005.
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    • Palmason, J.A.1    Benediktsson, J.A.2    Sveinsson, J.R.3    Chanussot, J.4
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    • Morphological attribute profiles for the analysis of very high resolution images
    • M. Dalla Mura, J. Benediktsson, B. Waske, and L. Bruzzone, "Morphological attribute profiles for the analysis of very high resolution images," IEEE Trans. Geosci. Remote Sens., Vol. 48, no. 10, pp. 3747-3762, 2010.
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  • 8
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    • Automatic spectral-spatial classification framework based on attribute profiles and supervised feature extraction
    • to appear
    • P. Ghamisi, J.A. Benediktsson and J.R. Sveinsson, Automatic Spectral-Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction, to appear IEEE Trans. on Geoscience and Remote Sensing, 2014. doi: 10.1109/TGRS.2013.2292544.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.