메뉴 건너뛰기




Volumn 248, Issue , 2017, Pages 3-10

Adaptive land classification and new class generation by unsupervised double-stage learning in Poincare sphere space for polarimetric synthetic aperture radars

Author keywords

Geoscience big data; Polarimetry; Self organizing map; Synthetic aperture radar

Indexed keywords

BIG DATA; CONFORMAL MAPPING; POLARIMETERS; RADAR; SELF ORGANIZING MAPS; SYNTHETIC APERTURE RADAR;

EID: 85016637194     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2016.11.072     Document Type: Article
Times cited : (17)

References (39)
  • 2
    • 0028425826 scopus 로고
    • Least-squares two-dimensional phase unwrapping using FFT's
    • [2] Pritt, M., Shipman, J., Least-squares two-dimensional phase unwrapping using FFT's. IEEE Trans. Geosci. Remote Sens. 32:3 (1994), 706–708.
    • (1994) IEEE Trans. Geosci. Remote Sens. , vol.32 , Issue.3 , pp. 706-708
    • Pritt, M.1    Shipman, J.2
  • 3
    • 0030149816 scopus 로고    scopus 로고
    • Interferometric SAR phase unwrapping using Green's formulation
    • [3] Fornaro, G., Franceschetti, G., Lanari, R., Interferometric SAR phase unwrapping using Green's formulation. IEEE Trans. Geosci. Remote Sens. 34:3 (1996), 720–727.
    • (1996) IEEE Trans. Geosci. Remote Sens. , vol.34 , Issue.3 , pp. 720-727
    • Fornaro, G.1    Franceschetti, G.2    Lanari, R.3
  • 5
    • 0024045217 scopus 로고
    • Satellite radar interferometry: two-dimensional phase unwrapping
    • [5] Goldstein, R.M., Zebker, H.A., Werner, C.L., Satellite radar interferometry: two-dimensional phase unwrapping. Radio Sci. 23 (1988), 713–720.
    • (1988) Radio Sci. , vol.23 , pp. 713-720
    • Goldstein, R.M.1    Zebker, H.A.2    Werner, C.L.3
  • 6
    • 0036508374 scopus 로고    scopus 로고
    • Adaptive noise reduction of InSAR image based on complex-valued MRF model and its application to phase unwrapping problem
    • [6] Suksmono, A.B., Hirose, A., Adaptive noise reduction of InSAR image based on complex-valued MRF model and its application to phase unwrapping problem. IEEE Trans. Geosci. Remote Sens. 40:3 (2002), 699–709.
    • (2002) IEEE Trans. Geosci. Remote Sens. , vol.40 , Issue.3 , pp. 699-709
    • Suksmono, A.B.1    Hirose, A.2
  • 7
    • 58149485162 scopus 로고    scopus 로고
    • Singular unit restoration in interferograms based on complex-valued Markov random field model for phase unwrapping
    • [7] Yamaki, R., Hirose, A., Singular unit restoration in interferograms based on complex-valued Markov random field model for phase unwrapping. IEEE Trans. Geosci. Remote Sens. 6:1 (2009), 18–22.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.6 , Issue.1 , pp. 18-22
    • Yamaki, R.1    Hirose, A.2
  • 8
    • 0036508374 scopus 로고    scopus 로고
    • Adaptive noise reduction of InSAR images based on a complex-valued MRF model and its application to phase unwrapping problem
    • (followed by publisher's errata on Fig. 12)
    • [8] Suksmono, A.B., Hirose, A., Adaptive noise reduction of InSAR images based on a complex-valued MRF model and its application to phase unwrapping problem. IEEE Trans. Geosci. Remote Sens. 40:3 (2002), 699–709 (followed by publisher's errata on Fig. 12).
    • (2002) IEEE Trans. Geosci. Remote Sens. , vol.40 , Issue.3 , pp. 699-709
    • Suksmono, A.B.1    Hirose, A.2
  • 10
    • 33645740306 scopus 로고    scopus 로고
    • Progressive transform-based phase unwrapping utilizing a recursive structure
    • [10] Suksmono, A.B., Hirose, A., Progressive transform-based phase unwrapping utilizing a recursive structure. IEICE Trans. Commun. E89-B:3 (2006), 929–936.
    • (2006) IEICE Trans. Commun. , vol.E89-B , Issue.3 , pp. 929-936
    • Suksmono, A.B.1    Hirose, A.2
  • 11
    • 78650910955 scopus 로고    scopus 로고
    • SPEC method - a fine co-registration method for SAR interferogram
    • [11] Natsuaki, R., Hirose, A., SPEC method - a fine co-registration method for SAR interferogram. IEEE Trans. Geosci. Remote Sens. 49:1 (2011), 28–37.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.1 , pp. 28-37
    • Natsuaki, R.1    Hirose, A.2
  • 12
    • 85027955661 scopus 로고    scopus 로고
    • Distortion reduction in singularity-spreading phase unwrapping with pseudo-continuous spreading and self-clustering active localization
    • [12] Oshiyama, G., Hirose, A., Distortion reduction in singularity-spreading phase unwrapping with pseudo-continuous spreading and self-clustering active localization. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 8:8 (2015), 3846–3858.
    • (2015) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. , vol.8 , Issue.8 , pp. 3846-3858
    • Oshiyama, G.1    Hirose, A.2
  • 13
    • 84908267729 scopus 로고    scopus 로고
    • JAXA earth observation program digest
    • [13] Shimada, M., JAXA earth observation program digest. IEEE Geosci. Remote Sens. Mag. 2:2 (2014), 47–52.
    • (2014) IEEE Geosci. Remote Sens. Mag. , vol.2 , Issue.2 , pp. 47-52
    • Shimada, M.1
  • 14
    • 84877920847 scopus 로고    scopus 로고
    • InSAR local co-registration method assisted by shape-from-shading
    • [14] Natsuaki, R., Hirose, A., InSAR local co-registration method assisted by shape-from-shading. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 6:2 (2013), 953–959.
    • (2013) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. , vol.6 , Issue.2 , pp. 953-959
    • Natsuaki, R.1    Hirose, A.2
  • 16
    • 0042347709 scopus 로고    scopus 로고
    • Recent advances in extra-wide-band polarimetry, interferometry and polarimetric interferometry in synthetic aperture remote sensing and its applications
    • [16] Boerner, W.M., Recent advances in extra-wide-band polarimetry, interferometry and polarimetric interferometry in synthetic aperture remote sensing and its applications. IEE Proc. – Radar Sonar Navig. 150:3 (2003), 113–124.
    • (2003) IEE Proc. – Radar Sonar Navig. , vol.150 , Issue.3 , pp. 113-124
    • Boerner, W.M.1
  • 17
    • 0030780622 scopus 로고    scopus 로고
    • An entropy based classification scheme for land applications of polarimetric SAR
    • [17] Cloude, S.R., Pottier, E., An entropy based classification scheme for land applications of polarimetric SAR. IEEE Trans. Geosci. Remote Sens. 35 (1997), 68–78.
    • (1997) IEEE Trans. Geosci. Remote Sens. , vol.35 , pp. 68-78
    • Cloude, S.R.1    Pottier, E.2
  • 18
    • 0030149474 scopus 로고    scopus 로고
    • Classification of multifrequency polarimetric SAR imagery using a dynamic learning neural network
    • [18] Chen, K.S., Huang, W.P., Tsay, D.H., Amar, F., Classification of multifrequency polarimetric SAR imagery using a dynamic learning neural network. IEEE Trans. Geosci. Remote Sens. 34 (1996), 814–820.
    • (1996) IEEE Trans. Geosci. Remote Sens. , vol.34 , pp. 814-820
    • Chen, K.S.1    Huang, W.P.2    Tsay, D.H.3    Amar, F.4
  • 22
    • 4944221419 scopus 로고    scopus 로고
    • On the use of permanent symmetric scatterers for ship characterization
    • [22] Touzi, R., Raney, R.K., Charbonneau, F., On the use of permanent symmetric scatterers for ship characterization. IEEE Trans. Geosci. Remote Sens. 42:10 (2004), 2039–2045.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.10 , pp. 2039-2045
    • Touzi, R.1    Raney, R.K.2    Charbonneau, F.3
  • 23
    • 84863535509 scopus 로고    scopus 로고
    • Ship and oil-spill detection using the degree of polarization in linear and hybrid/compact Dual-Pol SAR
    • [23] Shirvany, R., Chabert, M., Tourneret, J.-Y., Ship and oil-spill detection using the degree of polarization in linear and hybrid/compact Dual-Pol SAR. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 5:3 (2012), 885–892, 10.1109/JSTARS.2012.2182760.
    • (2012) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. , vol.5 , Issue.3 , pp. 885-892
    • Shirvany, R.1    Chabert, M.2    Tourneret, J.-Y.3
  • 24
    • 24944434996 scopus 로고    scopus 로고
    • Four component scattering model for polarimetric SAR image decomposition
    • [24] Yamaguchi, Y., Moriyama, T., Ishido, M., Yamada, H., Four component scattering model for polarimetric SAR image decomposition. IEEE Trans. Geosci. Remote Sens. 43:8 (2005), 1699–1706.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.8 , pp. 1699-1706
    • Yamaguchi, Y.1    Moriyama, T.2    Ishido, M.3    Yamada, H.4
  • 25
    • 84891000124 scopus 로고    scopus 로고
    • Capability assessment of fully polarimetric ALOS-PALSAR data for discriminating wet snow from other scattering types in mountainous regions
    • [25] Singh, G., Venkataraman, G., Yamaguchi, Y., Park, S.-E., Capability assessment of fully polarimetric ALOS-PALSAR data for discriminating wet snow from other scattering types in mountainous regions. IEEE Trans. Geosci. Remote Sens. 52:2 (2014), 1177–1196.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.2 , pp. 1177-1196
    • Singh, G.1    Venkataraman, G.2    Yamaguchi, Y.3    Park, S.-E.4
  • 26
    • 85027937125 scopus 로고    scopus 로고
    • Averaged-Stokes-vector-based polarimetric SAR data interpretation
    • [26] Shang, F., Hirose, A., Averaged-Stokes-vector-based polarimetric SAR data interpretation. IEEE Trans. Geosci. Remote Sens. 53:8 (2015), 4536–4547.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.8 , pp. 4536-4547
    • Shang, F.1    Hirose, A.2
  • 27
    • 84900809101 scopus 로고    scopus 로고
    • Quaternion neural-network-based PolSAR land classification in Poincare-sphere-parameter space
    • [27] Shang, F., Hirose, A., Quaternion neural-network-based PolSAR land classification in Poincare-sphere-parameter space. IEEE Trans. Geosci. Remote Sens. 52:9 (2014), 5693–5703.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , Issue.9 , pp. 5693-5703
    • Shang, F.1    Hirose, A.2
  • 29
    • 78649270707 scopus 로고    scopus 로고
    • Geometric Computing for Wavelet Transforms, Robot Vision, Learning, Control and Action
    • Springer
    • [29] Bayro-Corrochano, E., Geometric Computing for Wavelet Transforms, Robot Vision, Learning, Control and Action. 2010, Springer.
    • (2010)
    • Bayro-Corrochano, E.1
  • 30
    • 78149294352 scopus 로고    scopus 로고
    • Clifford support vector machines for classification, regression, and recurrence
    • [30] Bayro-Corrochano, E.J., Arana-Daniel, N., Clifford support vector machines for classification, regression, and recurrence. IEEE Trans. Neural Netw. 21:11 (2010), 1731–1746.
    • (2010) IEEE Trans. Neural Netw. , vol.21 , Issue.11 , pp. 1731-1746
    • Bayro-Corrochano, E.J.1    Arana-Daniel, N.2
  • 31
    • 84859797266 scopus 로고    scopus 로고
    • Generalization characteristics of complex-valued feedforward neural networks in relation to signal coherence
    • [31] Hirose, A., Yoshida, S., Generalization characteristics of complex-valued feedforward neural networks in relation to signal coherence. IEEE Trans. Neural Netw. Learn. Syst. 23 (2012), 541–551.
    • (2012) IEEE Trans. Neural Netw. Learn. Syst. , vol.23 , pp. 541-551
    • Hirose, A.1    Yoshida, S.2
  • 32
    • 9144247917 scopus 로고    scopus 로고
    • Plastic mine detecting system using complex-valued self-organizing map that deals with multiple-frequency interferometric images
    • [32] Hara, T., Hirose, A., Plastic mine detecting system using complex-valued self-organizing map that deals with multiple-frequency interferometric images. Neural Netw. 17:8–9 (2004), 1201–1210.
    • (2004) Neural Netw. , vol.17 , Issue.8-9 , pp. 1201-1210
    • Hara, T.1    Hirose, A.2
  • 33
    • 34547487300 scopus 로고    scopus 로고
    • Walled LTSA array for rapid, high spatial resolution, and phase sensitive imaging to visualize plastic landmines
    • [33] Masuyama, S., Hirose, A., Walled LTSA array for rapid, high spatial resolution, and phase sensitive imaging to visualize plastic landmines. IEEE Trans. Geosci. Remote Sens. 45:8 (2007), 2536–2543.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.8 , pp. 2536-2543
    • Masuyama, S.1    Hirose, A.2
  • 34
    • 84896543706 scopus 로고    scopus 로고
    • Millimeter-wave security imaging using complex-valued self-organizing map for visualization of moving targets
    • [34] Onojima, S., Arima, Y., Hirose, A., Millimeter-wave security imaging using complex-valued self-organizing map for visualization of moving targets. Neurocomputing 134 (2014), 247–253.
    • (2014) Neurocomputing , vol.134 , pp. 247-253
    • Onojima, S.1    Arima, Y.2    Hirose, A.3
  • 35
    • 84896542243 scopus 로고    scopus 로고
    • Circular property of complex-valued correlation learning in CMRF-based filtering for synthetic aperture radar interferometry
    • [35] Natsuaki, R., Hirose, A., Circular property of complex-valued correlation learning in CMRF-based filtering for synthetic aperture radar interferometry. Neurocomputing 134 (2014), 165–172.
    • (2014) Neurocomputing , vol.134 , pp. 165-172
    • Natsuaki, R.1    Hirose, A.2
  • 36
    • 33751495113 scopus 로고    scopus 로고
    • Complex-Valued Neural Networks
    • 2nd ed. Springer Heidelberg, Berlin, New York
    • [36] Hirose, A., Complex-Valued Neural Networks. 2nd ed., 2012, Springer, Heidelberg, Berlin, New York.
    • (2012)
    • Hirose, A.1
  • 38
    • 55649086659 scopus 로고    scopus 로고
    • Multiple mode selection of walled-LTSA array elements for high resolution imaging to visualize antipersonnel plastic landmines
    • [38] Masuyama, S., Yasuda, K., Hirose, A., Multiple mode selection of walled-LTSA array elements for high resolution imaging to visualize antipersonnel plastic landmines. IEEE Geosci. Remote Sens. Lett. 5:4 (2008), 745–749.
    • (2008) IEEE Geosci. Remote Sens. Lett. , vol.5 , Issue.4 , pp. 745-749
    • Masuyama, S.1    Yasuda, K.2    Hirose, A.3
  • 39
    • 84859796200 scopus 로고    scopus 로고
    • Adaptive identification of landmine class by evaluating the total degree of conformity of ring-SOM
    • [39] Nakano, Y., Hirose, A., Adaptive identification of landmine class by evaluating the total degree of conformity of ring-SOM. Aust. J. Intell. Inf. Process. Syst. 12 (2010), 23–28.
    • (2010) Aust. J. Intell. Inf. Process. Syst. , vol.12 , pp. 23-28
    • Nakano, Y.1    Hirose, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.