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Volumn , Issue , 2007, Pages 4164-4166

A neural approach to unsupervised classification of very-high resolution polarimetric SAR data

Author keywords

Classification; SAR; SOM (Self Organizing Maps)

Indexed keywords

L-BAND POLARIMETRIC SAR DATA; POLARIMETRIC IMAGES;

EID: 79957963304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4423767     Document Type: Conference Paper
Times cited : (5)

References (11)
  • 1
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    • SAR Polarimetry and applications
    • E. Portier, "SAR Polarimetry and applications," POLinSAr 2005.
    • (2005) POLinSAr
    • Portier, E.1
  • 3
    • 0030780622 scopus 로고    scopus 로고
    • An Entropy Based Classification Scheme for land applications of Polarimetric SAR
    • S.R. Cloude and E.Pottier, "An Entropy Based Classification Scheme for land applications of Polarimetric SAR," IEEE Trans GRS-35(1), 68-78, 1997.
    • (1997) IEEE Trans GRS-35(1) , pp. 68-78
    • Cloude, S.R.1    Pottier, E.2
  • 5
    • 0034541872 scopus 로고    scopus 로고
    • L. Ferro-Famil, E. Pottier, and J.-S. Lee, Unsupervised classification of multi-frequency and fully Polarimetric SAR images based on the H/A/Alpha-Wishart classifier, Proc. IGARSS 2000.
    • L. Ferro-Famil, E. Pottier, and J.-S. Lee, "Unsupervised classification of multi-frequency and fully Polarimetric SAR images based on the H/A/Alpha-Wishart classifier," Proc. IGARSS 2000.
  • 7
    • 39049111565 scopus 로고    scopus 로고
    • BACCHUS-DOC Radar and Optical Campaign, Experiment Plan
    • Sept
    • R. Horn, "BACCHUS-DOC Radar and Optical Campaign, Experiment Plan," ESRIN/19188/05/I-LG, Sept. 2005.
    • (2005) ESRIN/19188/05/I-LG
    • Horn, R.1
  • 8
    • 39049142153 scopus 로고    scopus 로고
    • BACCHUS-DOC Radar and Optical Campaign, Data Acquisition Report
    • Dec
    • R. Horn, "BACCHUS-DOC Radar and Optical Campaign, Data Acquisition Report," ESRIN/19188/05/I-LG, Dec. 2005.
    • (2005) ESRIN/19188/05/I-LG
    • Horn, R.1
  • 9
    • 34948886652 scopus 로고    scopus 로고
    • Self-Organizing neural networks for unsupervised classification of Polarimetric SAR data on complex landscapes
    • Denver, Colorado, U.S.A, August
    • C. Putignano, G. Schiavon, D. Solimini, B. Trisasongko, "Self-Organizing neural networks for unsupervised classification of Polarimetric SAR data on complex landscapes," Proc. IGARSS 20006, Denver, Colorado, U.S.A, August 2006.
    • (2006) Proc. IGARSS 20006
    • Putignano, C.1    Schiavon, G.2    Solimini, D.3    Trisasongko, B.4
  • 10
    • 39149123026 scopus 로고    scopus 로고
    • http://www.lohninger.com/kohonen.html
  • 11
    • 33745890364 scopus 로고    scopus 로고
    • ESOM-Maps: Tools for clustering, visualization, and classification with Emergent SOM,
    • Technical Report 46, CS Department, Philipps-University Marburg, Germany
    • A. Ultsch, F. Mörchen, "ESOM-Maps: tools for clustering, visualization, and classification with Emergent SOM," Technical Report 46, CS Department, Philipps-University Marburg, Germany, 2005.
    • (2005)
    • Ultsch, A.1    Mörchen, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.