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Volumn 24, Issue 6, 2005, Pages 463-466

New scheme for decomposition of mixed pixels of remote sensing images

Author keywords

BP neural network; Constraint conditions; Decomposition of mixed pixels; Energy function

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CLASSIFICATION (OF INFORMATION); CONSTRAINT THEORY; IMAGE PROCESSING; NEURAL NETWORKS;

EID: 30544440729     PISSN: 10019014     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (9)
  • 1
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    • Least squares subspace projection approach to mixed pixel classification for hyper-spectral images
    • CHANG Cheng-I, ZHAO Xiao-Li. Least squares subspace projection approach to mixed pixel classification for hyper-spectral images[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(3): 898-912.
    • (1998) IEEE Transactions on Geoscience and Remote Sensing , vol.36 , Issue.3 , pp. 898-912
    • Chang, C.-I.1    Zhao, X.-L.2
  • 2
    • 0034627796 scopus 로고    scopus 로고
    • Pattern decomposition method in the albedo space for Landsat TM and MSS data analysis
    • K. Muramatsu, S. Furumi, N. Fujiwara, et al. Pattern decomposition method in the albedo space for Landsat TM and MSS data analysis[J]. International Journal of Remote Sensing, 2000, 21(1): 99-119.
    • (2000) International Journal of Remote Sensing , vol.21 , Issue.1 , pp. 99-119
    • Muramatsu, K.1    Furumi, S.2    Fujiwara, N.3
  • 4
    • 0033344774 scopus 로고    scopus 로고
    • An interference rejection-based radial basis function neural network for hyperspectral image classification
    • Qian Du, Chein-I Chang. An interference rejection-based radial basis function neural network for hyperspectral image classification[C]. International Joint Conference on Neural Networks, 1999, 4: 2698-2703.
    • (1999) International Joint Conference on Neural Networks , vol.4 , pp. 2698-2703
    • Du, Q.1    Chang, C.-I.2
  • 5
    • 0031635163 scopus 로고    scopus 로고
    • Supervised classification of multispectral remote sensing image using BP neural network
    • LI Zuo-Yong. Supervised classification of multispectral remote sensing image using BP neural network[J]. Journal of Infrared and Millimeter Waves, 1998, 17(4): 153-156.
    • (1998) Journal of Infrared and Millimeter Waves , vol.17 , Issue.4 , pp. 153-156
    • Li, Z.-Y.1
  • 6
    • 0033296171 scopus 로고    scopus 로고
    • Learning sample selection in multispectral remote sensing image classification using BP neural network
    • YU Xiu-Lan, QIAN Guo-Hui, ZHOU Jian-Lin, et al. Learning sample selection in multispectral remote sensing image classification using BP neural network[J]. Journal of Infrared and Millimeter Waves, 1999, 18(12): 449-454.
    • (1999) Journal of Infrared and Millimeter Waves , vol.18 , Issue.12 , pp. 449-454
    • Yu, X.-L.1    Qian, G.-H.2    Zhou, J.-L.3
  • 7
    • 0026678254 scopus 로고
    • Classification of multispectral remote sensing data using a back-propagation neural network
    • Heermann P D, Khazenie N. Classification of multispectral remote sensing data using a back-propagation neural network[J]. IEEE Transactions on Geoscience and Remote Sensing. 1992, 30(1): 81-88.
    • (1992) IEEE Transactions on Geoscience and Remote Sensing , vol.30 , Issue.1 , pp. 81-88
    • Heermann, P.D.1    Khazenie, N.2
  • 8
    • 0344496791 scopus 로고    scopus 로고
    • The study on decomposing AVHRR mixed pixels by means of neural network model
    • WANG Xi-Peng, ZHANG Yang-Zhen. The study on decomposing AVHRR mixed pixels by means of neural network model[J]. Journal of Remote Sensing, 1998, 1: 51-56.
    • (1998) Journal of Remote Sensing , vol.1 , pp. 51-56
    • Wang, X.-P.1    Zhang, Y.-Z.2
  • 9
    • 30544445499 scopus 로고    scopus 로고
    • Decomposing mixed pixels by means of RBF neural network
    • ZHANG Yan, SHAO Mei-Zhen. Decomposing mixed pixels by means of RBF neural network[J]. Journal of Remote Sensing, 2002, 7: 285-289.
    • (2002) Journal of Remote Sensing , vol.7 , pp. 285-289
    • Zhang, Y.1    Shao, M.-Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.