메뉴 건너뛰기




Volumn 12, Issue 3, 2015, Pages 577-581

Sparse hierarchical clustering for VHR image change detection

Author keywords

Change detection; Multimodal distribution; Sparse hierarchical clustering (SHC)

Indexed keywords

TREES (MATHEMATICS);

EID: 84908058606     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2351807     Document Type: Article
Times cited : (37)

References (12)
  • 1
    • 84863479380 scopus 로고    scopus 로고
    • Supervised change detection in VHR images using contextual information and support vector machines
    • Feb.
    • M. Volpi, D. Tuia, F. Bovolo, M. Kanevski, and L. Bruzzone, Supervised change detection in VHR images using contextual information and support vector machines, Int. J. Appl. Earth Observ. Geoinf., vol. 20, pp. 77-85, Feb. 2013.
    • (2013) Int. J. Appl. Earth Observ. Geoinf. , vol.20 , pp. 77-85
    • Volpi, M.1    Tuia, D.2    Bovolo, F.3    Kanevski, M.4    Bruzzone, L.5
  • 2
    • 45849126857 scopus 로고    scopus 로고
    • A novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure
    • Jul.
    • F. Bovolo, L. Bruzzone, and M. Marconcini, A novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure, IEEE Trans. Geosci. Remote Sens., vol. 46, no. 7, pp. 2070-2082, Jul. 2008.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , Issue.7 , pp. 2070-2082
    • Bovolo, F.1    Bruzzone, L.2    Marconcini, M.3
  • 3
    • 70350347100 scopus 로고    scopus 로고
    • Unsupervised change detection in satellite images using principal component analysis and K-means clustering
    • Oct.
    • T. Celik, Unsupervised change detection in satellite images using principal component analysis and K-means clustering, IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 772-776, Oct. 2009.
    • (2009) IEEE Geosci. Remote Sens. Lett. , vol.6 , Issue.4 , pp. 772-776
    • Celik, T.1
  • 5
    • 58149483518 scopus 로고    scopus 로고
    • A multilevel parcel-based approach to change detection in very high resolution multitemporal images
    • Jan.
    • F. Bovolo, A multilevel parcel-based approach to change detection in very high resolution multitemporal images, IEEE Geosci. Remote Sens. Lett., vol. 6, no. 1, pp. 33-37, Jan. 2009.
    • (2009) IEEE Geosci. Remote Sens. Lett. , vol.6 , Issue.1 , pp. 33-37
    • Bovolo, F.1
  • 6
    • 84890476780 scopus 로고    scopus 로고
    • Combining local features and progressive support vector machine for urban change detection of VHR images
    • C. Huo, B. Fan, C. Pan, and Z. Zhou, Combining local features and progressive support vector machine for urban change detection of VHR images, in Proc. ISPRS Ann., 2012, pp. 221-226.
    • (2012) Proc. ISPRS Ann. , pp. 221-226
    • Huo, C.1    Fan, B.2    Pan, C.3    Zhou, Z.4
  • 7
    • 70350544739 scopus 로고    scopus 로고
    • Description of interest regions with center-symmetric local binary patterns
    • M. Heikkilä, M. Pietikäinen, and C. Schmid, Description of interest regions with center-symmetric local binary patterns, in Proc. ICVGIP, 2006, pp. 58-69.
    • (2006) Proc. ICVGIP , pp. 58-69
    • Heikkilä, M.1    Pietikäinen, M.2    Schmid, C.3
  • 8
    • 33750383209 scopus 로고    scopus 로고
    • The K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representations
    • Nov.
    • M. Aharon, M. Elad, and A. M. Bruckstein, The K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representations, IEEE Trans. Image Process., vol. 54, no. 11, pp. 4311-4322, Nov. 2006.
    • (2006) IEEE Trans. Image Process , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.M.3
  • 11
    • 0033707763 scopus 로고    scopus 로고
    • Automatic analysis of the difference image for unsupervised change detection
    • May
    • L. Bruzzone and D. F. Prieto, Automatic analysis of the difference image for unsupervised change detection, IEEE Trans. Geosci. Remote Sens., vol. 38, no. 3, pp. 1171-1182, May 2000.
    • (2000) IEEE Trans. Geosci. Remote Sens. , vol.38 , Issue.3 , pp. 1171-1182
    • Bruzzone, L.1    Prieto, D.F.2
  • 12
    • 33847751877 scopus 로고    scopus 로고
    • The regularized iteratively reweighted MAD method for change detection in multi- and hyperspectral data
    • Feb.
    • A. A. Nielsen, The regularized iteratively reweighted MAD method for change detection in multi- and hyperspectral data, IEEE Trans. Image Process., vol. 16, no. 2, pp. 463-478, Feb. 2007.
    • (2007) IEEE Trans. Image Process. , vol.16 , Issue.2 , pp. 463-478
    • Nielsen, A.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.