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Volumn 50, Issue 1, 2017, Pages 166-178

Decision fusion for hyperspectral image classification based on multiple features and locality-preserving analysis

Author keywords

decision fusion; dimensionality reduction; Gabor filter; Hyperspectral image classification; locality preserving; spectral derivative

Indexed keywords

DIMENSIONALITY REDUCTION; FACTORIZATION; GABOR FILTERS; GAUSSIAN DISTRIBUTION; HYPERSPECTRAL IMAGING; IMAGE CLASSIFICATION; IMAGE FUSION; IMAGE SEGMENTATION; MAGNETORHEOLOGICAL FLUIDS; MARKOV PROCESSES; MATRIX ALGEBRA; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

EID: 85029392085     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.1080/22797254.2017.1299556     Document Type: Article
Times cited : (11)

References (33)
  • 1
    • 84877920421 scopus 로고    scopus 로고
    • Spectral derivative features for classification of hyperspectral remote sensing images: Experimental evaluation
    • Bao, J., Chi, M., & Benediktsson, J.A., (2013). Spectral derivative features for classification of hyperspectral remote sensing images: Experimental evaluation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(2), 594–601. doi:10.1109/JSTARS.2013.2237758
    • (2013) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol.6 , Issue.2 , pp. 594-601
    • Bao, J.1    Chi, M.2    Benediktsson, J.A.3
  • 2
    • 77956058584 scopus 로고    scopus 로고
    • Hyperspectral region classification using a three-dimensional Gabor filterbank
    • Bau, T.C., Sarkar, S., & Healey, G., (2010). Hyperspectral region classification using a three-dimensional Gabor filterbank. IEEE Transactions on Geoscience Remote Sensing, 48(9), 3457–3464. doi:10.1109/TGRS.2010.2046494
    • (2010) IEEE Transactions on Geoscience Remote Sensing , vol.48 , Issue.9 , pp. 3457-3464
    • Bau, T.C.1    Sarkar, S.2    Healey, G.3
  • 3
    • 33750796618 scopus 로고    scopus 로고
    • Structured Gaussian components for hyperspectral image classification
    • Berge, A., & Solberg, A.H.S., (2006). Structured Gaussian components for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 44(11), 3386–3396. doi:10.1109/TGRS.2006.880626
    • (2006) IEEE Geoscience and Remote Sensing Letters , vol.44 , Issue.11 , pp. 3386-3396
    • Berge, A.1    Solberg, A.H.S.2
  • 5
    • 20444432773 scopus 로고    scopus 로고
    • Kernel-based methods for hyperspectral image classification
    • Camps-Valls, G., & Bruzzone, L., (2005). Kernel-based methods for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 43(6), 1351–1362. doi:10.1109/TGRS.2005.846154
    • (2005) IEEE Geoscience and Remote Sensing Letters , vol.43 , Issue.6 , pp. 1351-1362
    • Camps-Valls, G.1    Bruzzone, L.2
  • 6
    • 84912029121 scopus 로고    scopus 로고
    • Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine
    • Chen, C., Li, W., Su, H., & Liu, K., (2014). Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine. Remote Sensing, 6(6), 5795–5814. doi:10.3390/rs6065795
    • (2014) Remote Sensing , vol.6 , Issue.6 , pp. 5795-5814
    • Chen, C.1    Li, W.2    Su, H.3    Liu, K.4
  • 7
    • 0034333640 scopus 로고    scopus 로고
    • Designing Gabor filters for optimal texture separability
    • Clausiand, D.A., & Jernigan, M.E., (2000). Designing Gabor filters for optimal texture separability. Pattern Recognition, 33(11), 1835–1849. doi:10.1016/S0031-3203(99)00181-8
    • (2000) Pattern Recognition , vol.33 , Issue.11 , pp. 1835-1849
    • Clausiand, D.A.1    Jernigan, M.E.2
  • 8
    • 0022098435 scopus 로고
    • Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters
    • Daugman, J.G., (1985). Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. Journal of the Optical Society of America, 2(7), 1160–1169. doi:10.1364/JOSAA.2.001160
    • (1985) Journal of the Optical Society of America , vol.2 , Issue.7 , pp. 1160-1169
    • Daugman, J.G.1
  • 9
    • 0036991339 scopus 로고    scopus 로고
    • A model-based mixture-supervised classification approach in hyperspectral data analysis
    • Dundar, M.M., & Landgrebe, D., (2002). A model-based mixture-supervised classification approach in hyperspectral data analysis. IEEE Transactions on Geoscience Remote Sensing, 40(12), 2692–2699. doi:10.1109/TGRS.2002.807010
    • (2002) IEEE Transactions on Geoscience Remote Sensing , vol.40 , Issue.12 , pp. 2692-2699
    • Dundar, M.M.1    Landgrebe, D.2
  • 10
    • 13444286179 scopus 로고    scopus 로고
    • Advances in Neural Information Processing System, USA: MIT Press
    • He, X., & Niyogi, P., (2004). Locality preserving projections. Advances in Neural Information Processing System, USA: MIT Press.
    • (2004) Locality preserving projections
    • He, X.1    Niyogi, P.2
  • 12
    • 84899795478 scopus 로고    scopus 로고
    • A two-stage feature selection framework for hyperspectral image classification using few labeled samples
    • Jia, S., Zhu, Z., Shen, L., & Li, Q., (2014). A two-stage feature selection framework for hyperspectral image classification using few labeled samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(4), 1023–1035. doi:10.1109/JSTARS.2013.2282161
    • (2014) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol.7 , Issue.4 , pp. 1023-1035
    • Jia, S.1    Zhu, Z.2    Shen, L.3    Li, Q.4
  • 13
    • 78049303525 scopus 로고    scopus 로고
    • Decision-level fusion of spectral reflectance and derivative information for robust hyperspectral land cover classification
    • Kalluri, H.R., Prasad, S., & Bruce, M.L., (2010). Decision-level fusion of spectral reflectance and derivative information for robust hyperspectral land cover classification. IEEE Transactions on Geoscience Remote Sensing, 48(11), 4047–4058. doi:10.1109/TGRS.2010.2072787
    • (2010) IEEE Transactions on Geoscience Remote Sensing , vol.48 , Issue.11 , pp. 4047-4058
    • Kalluri, H.R.1    Prasad, S.2    Bruce, M.L.3
  • 14
    • 84896389880 scopus 로고    scopus 로고
    • Feature extraction of hyperspectral images with image fusion and recursive filtering
    • Kang, X., Li, S., & Benediktsson, J.A., (2014). Feature extraction of hyperspectral images with image fusion and recursive filtering. IEEE Transactions on Geoscience Remote Sensing, 52(6), 3742–3752. doi:10.1109/TGRS.2013.2275613
    • (2014) IEEE Transactions on Geoscience Remote Sensing , vol.52 , Issue.6 , pp. 3742-3752
    • Kang, X.1    Li, S.2    Benediktsson, J.A.3
  • 15
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D.D., & Seung, H.S., (1999). Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755), 788–791. doi:10.1038/44565
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 16
    • 85027917034 scopus 로고    scopus 로고
    • Efficient superpixel-level multitask joint sparse representation for hyperspectral image classification
    • Li, J., Zhang, H., & Zhang, L., (2015). Efficient superpixel-level multitask joint sparse representation for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 53(10), 5338–5351. doi:10.1109/TGRS.2015.2421638
    • (2015) IEEE Transactions on Geoscience and Remote Sensing , vol.53 , Issue.10 , pp. 5338-5351
    • Li, J.1    Zhang, H.2    Zhang, L.3
  • 17
    • 84925296587 scopus 로고    scopus 로고
    • Local binary patterns and extreme learning machine for hyperspectral imagery classification
    • Li, W., Chen., C., Su, H., & Du, Q., (2015). Local binary patterns and extreme learning machine for hyperspectral imagery classification. IEEE Transactions on Geoscience Remote Sensing, 53(7), 3681–3693. doi:10.1109/TGRS.2014.2381602
    • (2015) IEEE Transactions on Geoscience Remote Sensing , vol.53 , Issue.7 , pp. 3681-3693
    • Li, W.1    Chen, C.2    Su, H.3    Du, Q.4
  • 18
    • 84899785506 scopus 로고    scopus 로고
    • Gabor-filtering-based nearest regularized subspace for hyperspectral image classification
    • Li, W., & Du, Q., (2014). Gabor-filtering-based nearest regularized subspace for hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(4), 1012–1022. doi:10.1109/JSTARS.2013.2295313
    • (2014) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol.7 , Issue.4 , pp. 1012-1022
    • Li, W.1    Du, Q.2
  • 19
    • 84886600886 scopus 로고    scopus 로고
    • Noise-adjusted subspace discriminant analysis for hyperspectral imagery classification
    • Li, W., Prasad, S., & Fowler, J.E., (2013). Noise-adjusted subspace discriminant analysis for hyperspectral imagery classification. IEEE Geoscience and Remote Sensing Letters, 10(6), 1374–1378. doi:10.1109/LGRS.2013.2242042
    • (2013) IEEE Geoscience and Remote Sensing Letters , vol.10 , Issue.6 , pp. 1374-1378
    • Li, W.1    Prasad, S.2    Fowler, J.E.3
  • 20
    • 84888305489 scopus 로고    scopus 로고
    • Hyperspectral image classification using Gaussian mixture model and Markov random field
    • Li, W., Prasad, S., & Fowler, J.E., (2014). Hyperspectral image classification using Gaussian mixture model and Markov random field. IEEE Geoscience and Remote Sensing Letters, 11(1), 153–157. doi:10.1109/LGRS.2013.2250905
    • (2014) IEEE Geoscience and Remote Sensing Letters , vol.11 , Issue.1 , pp. 153-157
    • Li, W.1    Prasad, S.2    Fowler, J.E.3
  • 21
    • 84859784358 scopus 로고    scopus 로고
    • Locality-preserving dimensionality reduction and classification for hyperspectral image analysis
    • Li, W., Prasad, S., Fowler, J.E., & Bruce, L.M., (2012). Locality-preserving dimensionality reduction and classification for hyperspectral image analysis. IEEE Transactions on Geoscience Remote Sensing, 50(4), 1185–1198. doi:10.1109/TGRS.2011.2165957
    • (2012) IEEE Transactions on Geoscience Remote Sensing , vol.50 , Issue.4 , pp. 1185-1198
    • Li, W.1    Prasad, S.2    Fowler, J.E.3    Bruce, L.M.4
  • 25
    • 55649122577 scopus 로고    scopus 로고
    • Limitations of principal components analysis for hyperspectral target recognition
    • Prasad, S., & Bruce, L.M., (2008a). Limitations of principal components analysis for hyperspectral target recognition. IEEE Geoscience and Remote Sensing Letters, 5(4), 625–629. doi:10.1109/LGRS.2008.2001282
    • (2008) IEEE Geoscience and Remote Sensing Letters , vol.5 , Issue.4 , pp. 625-629
    • Prasad, S.1    Bruce, L.M.2
  • 26
    • 53349127642 scopus 로고    scopus 로고
    • Decision fusion with confidence-based weight assignment for hyperspectral target recognition
    • Prasad, S., & Bruce, L.M., (2008b). Decision fusion with confidence-based weight assignment for hyperspectral target recognition. IEEE Transactions on Geoscience Remote Sensing, 46(5), 1448–1456. doi:10.1109/TGRS.2008.916207
    • (2008) IEEE Transactions on Geoscience Remote Sensing , vol.46 , Issue.5 , pp. 1448-1456
    • Prasad, S.1    Bruce, L.M.2
  • 27
    • 82155181590 scopus 로고    scopus 로고
    • Three-dimensional Gabor wavelets for pixel-based hyperspectral imagery classification
    • Shen, L., & Jia, S., (2011). Three-dimensional Gabor wavelets for pixel-based hyperspectral imagery classification. IEEE Transactions on Geoscience Remote Sensing, 49(12), 5039–5046. doi:10.1109/TGRS.2011.2157166
    • (2011) IEEE Transactions on Geoscience Remote Sensing , vol.49 , Issue.12 , pp. 5039-5046
    • Shen, L.1    Jia, S.2
  • 28
    • 34249086815 scopus 로고    scopus 로고
    • Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis
    • Sugiyama, M., (2007). Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis. Journal of Machine Learning Research, 8(5), 1027–1061. http://www.cs.wvu.edu/~richas/ML-Papers/KLFDA.pdf
    • (2007) Journal of Machine Learning Research , vol.8 , Issue.5 , pp. 1027-1061
    • Sugiyama, M.1
  • 30
    • 84890553993 scopus 로고    scopus 로고
    • Bayesian classification of hyperspectral imagery based on probabilistic sparse representation
    • Xu, L., & Li, J., (2014). Bayesian classification of hyperspectral imagery based on probabilistic sparse representation. IEEE Geoscience and Remote Sensing Letters, 11(4), 823–827. doi:10.1109/LGRS.2013.2279395
    • (2014) IEEE Geoscience and Remote Sensing Letters , vol.11 , Issue.4 , pp. 823-827
    • Xu, L.1    Li, J.2
  • 32
    • 84888297753 scopus 로고    scopus 로고
    • Classification based on 3D DWT and decision fusion for hyperspectral image analysis
    • Ye, Z., Prasad, S., Li, W., Fowler, J.E., & He, M.Y., (2014). Classification based on 3D DWT and decision fusion for hyperspectral image analysis. IEEE Geoscience and Remote Sensing Letters, 11(1), 173–177. doi:10.1109/LGRS.2013.2251316
    • (2014) IEEE Geoscience and Remote Sensing Letters , vol.11 , Issue.1 , pp. 173-177
    • Ye, Z.1    Prasad, S.2    Li, W.3    Fowler, J.E.4    He, M.Y.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.