메뉴 건너뛰기




Volumn 53, Issue 5, 2015, Pages 2467-2480

Hyperspectral image classification based on three-dimensional scattering wavelet transform

Author keywords

3 D scattering wavelet transform; 3 D spatial filtering; Classification; hyperspectral image (HSI); spectral spatial

Indexed keywords

BEAMFORMING; CLUSTERING ALGORITHMS; IMAGE CLASSIFICATION; IMAGE COMPRESSION; IMAGE ENHANCEMENT; INFORMATION FILTERING; SPACE PLATFORMS; SPECTROSCOPY; WAVELET DECOMPOSITION;

EID: 84920995322     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2360672     Document Type: Article
Times cited : (119)

References (40)
  • 1
    • 41249085933 scopus 로고    scopus 로고
    • Ash decline assessment in emerald ash borer-infested regions: A test of tree-level, hyperspectral technologies
    • May
    • J. Pontius, M. Martin, L. Plourde, and R. Hallett, "Ash decline assessment in emerald ash borer-infested regions: A test of tree-level, hyperspectral technologies," Remote Sens. Environ., vol. 112, no. 5, pp. 2665-2676, May 2008.
    • (2008) Remote Sens. Environ. , vol.112 , Issue.5 , pp. 2665-2676
    • Pontius, J.1    Martin, M.2    Plourde, L.3    Hallett, R.4
  • 2
    • 17644371466 scopus 로고    scopus 로고
    • Hyperspectral image processing for automatic target detection applications
    • D.Manolakis, D.Marden, and G. Shaw, "Hyperspectral image processing for automatic target detection applications," Lincoln Lab. J., vol. 14, no. 1, pp. 79-116, 2003.
    • (2003) Lincoln Lab. J. , vol.14 , Issue.1 , pp. 79-116
    • Manolakis, D.1    Marden, D.2    Shaw, G.3
  • 3
    • 0030209425 scopus 로고    scopus 로고
    • Hyperspectral geological remote sensing: Evaluation of analytical techniques
    • Aug
    • E. Cloutis, "Hyperspectral geological remote sensing: Evaluation of analytical techniques," Int. J. Remote Sens., vol. 17, no. 12, pp. 2215-2242, Aug. 1996.
    • (1996) Int. J. Remote Sens. , vol.17 , Issue.12 , pp. 2215-2242
    • Cloutis, E.1
  • 4
    • 20444432773 scopus 로고    scopus 로고
    • Kernel-based methods for hyperspectral image classification
    • Jun
    • G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1351-1362, Jun. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.6 , pp. 1351-1362
    • Camps-Valls, G.1    Bruzzone, L.2
  • 5
    • 4344614511 scopus 로고    scopus 로고
    • Classification of hyperspectral remote sensing images with support vector machines
    • Aug
    • F.Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 8, pp. 1778-1790, Aug. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.8 , pp. 1778-1790
    • Melgani, F.1    Bruzzone, L.2
  • 7
    • 84861338885 scopus 로고    scopus 로고
    • A fast and robust sparse approach for hyperspectral data classification using a few labeled samples
    • Jun
    • Q. Haq, L. Tao, F. Sun, and S. Yang, "A fast and robust sparse approach for hyperspectral data classification using a few labeled samples," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 6, pp. 2287-2302, Jun. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.6 , pp. 2287-2302
    • Haq, Q.1    Tao, L.2    Sun, F.3    Yang, S.4
  • 9
    • 2642530204 scopus 로고    scopus 로고
    • Nonparametric weighted feature extraction for classification
    • May
    • B. Kuo and D. Landgrebe, "Nonparametric weighted feature extraction for classification," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 5, pp. 1096-1105, May 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.5 , pp. 1096-1105
    • Kuo, B.1    Landgrebe, D.2
  • 10
    • 61349199062 scopus 로고    scopus 로고
    • Classification of hyperspectral images with regularized linear discriminant analysis
    • Mar
    • T. Bandos, L. Bruzzone, and G. Camps-Valls, "Classification of hyperspectral images with regularized linear discriminant analysis," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 3, pp. 862-873, Mar. 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.3 , pp. 862-873
    • Bandos, T.1    Bruzzone, L.2    Camps-Valls, G.3
  • 11
    • 33846636871 scopus 로고    scopus 로고
    • Extraction of spectral channels from hyperspectral images for classification purposes
    • Feb
    • S. Serpico and G. Moserd, "Extraction of spectral channels from hyperspectral images for classification purposes," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 2, pp. 484-494, Feb. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.2 , pp. 484-494
    • Serpico, S.1    Moserd, G.2
  • 12
    • 67650436064 scopus 로고    scopus 로고
    • Recent advances in techniques for hyperspectral image processing
    • Sep
    • A. Plaza et al., "Recent advances in techniques for hyperspectral image processing," Remote Sens. Environ., vol. 113, no. 1, pp. S110-S122, Sep. 2009.
    • (2009) Remote Sens. Environ. , vol.113 , Issue.1 , pp. S110-S122
    • Plaza, A.1
  • 13
    • 84899967600 scopus 로고    scopus 로고
    • Advances in spectral-spatial classification of hyperspectral images
    • Mar
    • M. Fauvel, Y. Tarabalka, J. Benediktsson, J. Chanussot, and J. Tilton, "Advances in spectral-spatial classification of hyperspectral images," Proc. IEEE, vol. 101, no. 3, pp. 652-675, Mar. 2013.
    • (2013) Proc IEEE , vol.101 , Issue.3 , pp. 652-675
    • Fauvel, M.1    Tarabalka, Y.2    Benediktsson, J.3    Chanussot, J.4    Tilton, J.5
  • 15
    • 80052087210 scopus 로고    scopus 로고
    • On combining multiple features for hyperspectral remote sensing image classification
    • Mar
    • L. Zhang, L. Zhang, D. Tao, and X. Huang, "On combining multiple features for hyperspectral remote sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 879-893, Mar. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.3 , pp. 879-893
    • Zhang, L.1    Zhang, L.2    Tao, D.3    Huang, X.4
  • 16
    • 80053571096 scopus 로고    scopus 로고
    • Hyperspectral image classification using dictionary-based sparse representation
    • Oct
    • Y. Chen, N. Nasrabadi, and T. Tran, "Hyperspectral image classification using dictionary-based sparse representation," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3973-3985, Oct. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.10 , pp. 3973-3985
    • Chen, Y.1    Nasrabadi, N.2    Tran, T.3
  • 17
    • 84871731919 scopus 로고    scopus 로고
    • Hyperspectral image classification via kernel sparse representation
    • Jan
    • Y. Chen, N. Nasrabadi, and T. Tran, "Hyperspectral image classification via kernel sparse representation," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 217-231, Jan. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.1 , pp. 217-231
    • Chen, Y.1    Nasrabadi, N.2    Tran, T.3
  • 18
    • 84903270810 scopus 로고    scopus 로고
    • Manifold-based sparse representation for hyperspectral image classification
    • Dec
    • Y. Tang, H. Yuan, and L. Li, "Manifold-based sparse representation for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 12, pp. 7606-7618, Dec. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.12 , pp. 7606-7618
    • Tang, Y.1    Yuan, H.2    Li, L.3
  • 19
    • 84891559599 scopus 로고    scopus 로고
    • Spectral-spatial constraint hyperspectral image classification
    • Mar
    • R. Ji et al., "Spectral-spatial constraint hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 3, pp. 1811-1824, Mar. 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.3 , pp. 1811-1824
    • Ji, R.1
  • 20
    • 80052087931 scopus 로고    scopus 로고
    • Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields
    • Mar
    • J. Li, J. Bioucas-Dias, and A. Plaza, "Spectral-spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 809-823, Mar. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.3 , pp. 809-823
    • Li, J.1    Bioucas-Dias, J.2    Plaza, A.3
  • 21
    • 67949115614 scopus 로고    scopus 로고
    • Spectral-spatial classification of hyperspectral imagery based on partitional clustering techniques
    • Aug
    • Y. Tarabalka, J. Benediktsson, and J. Chanussot, "Spectral-spatial classification of hyperspectral imagery based on partitional clustering techniques," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2973-2987, Aug. 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.8 , pp. 2973-2987
    • Tarabalka, Y.1    Benediktsson, J.2    Chanussot, J.3
  • 22
    • 77953764526 scopus 로고    scopus 로고
    • Segmentation and classification of hyperspectral images using watershed transformation
    • Jul
    • Y. Tarabalka, J. Chanussot, and J. Benediktsson, "Segmentation and classification of hyperspectral images using watershed transformation," Pattern Recognit., vol. 43, no. 7, pp. 2367-2379, Jul. 2010.
    • (2010) Pattern Recognit. , vol.43 , Issue.7 , pp. 2367-2379
    • Tarabalka, Y.1    Chanussot, J.2    Benediktsson, J.3
  • 23
    • 78049241977 scopus 로고    scopus 로고
    • Multiple spectral-spatial classification approach for hyperspectral data
    • Nov
    • Y. Tarabalka, J. Benediktsson, J. Chanussot, and J. C. Tilton, "Multiple spectral-spatial classification approach for hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4122-4132, Nov. 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.11 , pp. 4122-4132
    • Tarabalka, Y.1    Benediktsson, J.2    Chanussot, J.3    Tilton, J.C.4
  • 24
    • 77956694762 scopus 로고    scopus 로고
    • Segmentation and classification of hyperspectral images using minimum spanning forest grown from automatically selected markers
    • Oct
    • Y. Tarabalka, J. Chanussot, and J. Benediktsson, "Segmentation and classification of hyperspectral images using minimum spanning forest grown from automatically selected markers," IEEE Trans. Syst., Man, Cybern., B, Cybern., vol. 40, no. 5, pp. 1267-1279, Oct. 2010.
    • (2010) IEEE Trans. Syst., Man, Cybern., B, Cybern. , vol.40 , Issue.5 , pp. 1267-1279
    • Tarabalka, Y.1    Chanussot, J.2    Benediktsson, J.3
  • 25
    • 84896314121 scopus 로고    scopus 로고
    • Spectral-spatial hyperspectral image classification with edge-preserving filtering
    • May
    • X. Kang, S. Li, and J. Bendiktsson, "Spectral-spatial hyperspectral image classification with edge-preserving filtering," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 2666-2677, May 2014.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.5 , pp. 2666-2677
    • Kang, X.1    Li, S.2    Bendiktsson, J.3
  • 26
    • 14644435059 scopus 로고    scopus 로고
    • Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
    • Mar
    • A. Plaza, P. Martinez, J. Plaza, and R. Perez, "Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 466-479, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 466-479
    • Plaza, A.1    Martinez, P.2    Plaza, J.3    Perez, R.4
  • 27
    • 84875713130 scopus 로고    scopus 로고
    • Hyperspectral image classification based structured sparse logistic regression and three-dimensional wavelet texture features
    • Apr
    • Y. Qian, M. Ye, and J. Zhou, "Hyperspectral image classification based structured sparse logistic regression and three-dimensional wavelet texture features," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 4, pp. 2276-2291, Apr. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.4 , pp. 2276-2291
    • Qian, Y.1    Ye, M.2    Zhou, J.3
  • 28
    • 82155181590 scopus 로고    scopus 로고
    • Three-dimensional Gabor wavelets for pixel-based hyperspectral imagery classification
    • Dec
    • L. Shen and S. Jia, "Three-dimensional Gabor wavelets for pixel-based hyperspectral imagery classification," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 12, pp. 5039-5046, Dec. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.12 , pp. 5039-5046
    • Shen, L.1    Jia, S.2
  • 30
    • 84863792318 scopus 로고    scopus 로고
    • Recursive interferometric representation
    • S. Mallat, "Recursive interferometric representation," in Proc. Eur. Signal Process. Conf., 2010, pp. 716-720.
    • (2010) Proc. Eur. Signal Process. Conf. , pp. 716-720
    • Mallat, S.1
  • 31
    • 84864324516 scopus 로고    scopus 로고
    • Group invariant scattering
    • Oct
    • S. Mallat, "Group invariant scattering," Comm. Pure Appl. Math., vol. 65, no. 10, pp. 1331-1398, Oct. 2012.
    • (2012) Comm. Pure Appl. Math. , vol.65 , Issue.10 , pp. 1331-1398
    • Mallat, S.1
  • 32
    • 84879877798 scopus 로고    scopus 로고
    • Invariant scattering convolution networks
    • Aug
    • J. Bruna and S. Mallat, "Invariant scattering convolution networks," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 8, pp. 1872-1886, Aug. 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.8 , pp. 1872-1886
    • Bruna, J.1    Mallat, S.2
  • 33
    • 84874554791 scopus 로고    scopus 로고
    • Applying scattering operators for face recognition: A comparative study
    • K. Chang, C. Lin, C. Chen, and Y. Hung, "Applying scattering operators for face recognition: A comparative study," in Proc. Int. Conf. Pattern Recognit., 2012, pp. 2985-2988.
    • (2012) Proc. Int. Conf. Pattern Recognit. , pp. 2985-2988
    • Chang, K.1    Lin, C.2    Chen, C.3    Hung, Y.4
  • 36
    • 33750819329 scopus 로고    scopus 로고
    • A novel transductive SVM for the semisupervised classification of remote sensing images
    • Nov
    • L. Bruzzone, M. Chi, and M. Marconcini, "A novel transductive SVM for the semisupervised classification of remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 11, pp. 3363-3373, Nov. 2006.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , Issue.11 , pp. 3363-3373
    • Bruzzone, L.1    Chi, M.2    Marconcini, M.3
  • 37
    • 84873174886 scopus 로고    scopus 로고
    • Hyperspectral Remote Sensing Images. [Online]. Available: http://www.ehu.es/ccwintco/index.php/Hyperspectral-Remote-Sensing-Scenes
    • Hyperspectral Remote Sensing Images
  • 38
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • Apr
    • C. Chang and C. Lin, "LIBSVM: A library for support vector machines," ACM Trans. Intell. Syst. Technol., vol. 2, no. 3, pp. 27:1-27:27, Apr. 2011.
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2 , Issue.3 , pp. 271-2727
    • Chang, C.1    Lin, C.2
  • 39
    • 79151469566 scopus 로고    scopus 로고
    • Band-subset-based clustering and fusion for hyperspectral imagery classification
    • Feb
    • Y. Zhao, L. Zhang, and S. Kong, "Band-subset-based clustering and fusion for hyperspectral imagery classification," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 2, pp. 747-756, Feb. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.2 , pp. 747-756
    • Zhao, Y.1    Zhang, L.2    Kong, S.3
  • 40
    • 84899912972 scopus 로고    scopus 로고
    • Spectral-spatial preprocessing using multihypothesis prediction for noise-robust hyperspectral image classification
    • Apr
    • C. Chen et al., "Spectral-spatial preprocessing using multihypothesis prediction for noise-robust hyperspectral image classification," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 4, pp. 1047-1059, Apr. 2014.
    • (2014) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.7 , Issue.4 , pp. 1047-1059
    • Chen, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.