IEEE Geoscience and Remote Sensing Magazine - June 2021 - 28

[47] D. C. Ghiglia and L. A. Romero, " Minimum Lp-norm two-dimensional
phase unwrapping, " J. Opt. Soc. Amer. A, vol. 13, no. 10,
pp. 1999-2013, Oct. 1996. doi: 10.1364/JOSAA.13.001999.
[48] P. T. H. Hui and W. Y. Chai, " Towards hybrid 2D phase unwrapping
using fuzzy clustering and neuro-fuzzy learning for
SAR images: A case study on IFSAR phase image, " in Proc. Int.
Symp. Intell. Multimedia, Video Speech Process., 2001, vol. 29,
no. 3, pp. 271-274.
[49] O. Loffeld, H. Nies, S. Knedlik, and W. Yu, " Phase unwrapping
for SAR interferometry. A data fusion approach by Kalman filtering, "
IEEE Trans. Geosci. Remote Sens., vol. 46, no. 1, pp. 47-58,
2008. doi: 10.1109/TGRS.2007.909081.
[50] J. J. M. Espla, T. M. Marin, and J. M. L. Sanchez, " A particle filter
approach for InSAR phase filtering and unwrapping, " IEEE
Trans. Geosci. Remote Sens., vol. 47, no. 4, pp. 1197-1121, 2009.
[51] M. Eineder and N. Adam, " A maximum-likelihood estimator
to simultaneously unwrap, geocode, and fuse SAR interferograms
from different viewing geometries into one digital elevation
model, " Appl. Numer. Math, vol. 43, no. 1, pp. 24-26, Jan.
2005. doi: 10.1109/TGRS.2004.838389.
[52] G. Fornaro, A. Monti Guarnieri, A. Pauciullo, and F. De-Zan,
" Maximum likelihood multibaseline SAR interferometry, "
IEEE Proc. Radar, Sonar Navig., vol. 153, no. 3, pp. 279-288,
2006. doi: 10.1049/ip-rsn:20045113.
[53] V. Pascazio and G. Schirinzi, " Estimation of terrain elevation
by multifrequency interferometric wide band SAR data, " IEEE
Signal Process. Lett., vol. 8, no. 1, pp. 7-9, 2001. doi: 10.1109/
97.889635.
[54] D. Just and R. Bamler, " Phase statistics of interferograms with
applications to synthetic aperture radar, " Appl. Opt., vol. 33,
no. 20, pp. 4361-4367, 1994. doi: 10.1364/AO.33.004361.
[55] V. Pascazio and G. Schirinzi, " Multifrequency InSAR height
reconstruction through maximum likelihood estimation of
local planes parameters, " IEEE Trans. Image Process., vol. 11,
no. 12, pp. 1478-1489, Dec. 2002. doi: 10.1109/TIP.2002
.804274.
[56] G. Ferraiuolo, V. Pascazio, and G. Schirinzi, " Maximum a posteriori
estimation of height profiles in InSAR imaging, " IEEE
Geosci. Remote Sens. Lett., vol. 1, no. 2, pp. 66-70, Apr. 2004.
doi: 10.1109/LGRS.2003.822882.
[57] S. Z. Li, Markov Random Field Modeling in Image Analysis. New
York: Springer-Verlag, 2009.
[58] G. Ferraiuolo, A. Shabou, F. Tupin, and V. Pascazio, " Multichannel
phase unwrapping with graph cuts, " IEEE Geosci.
Remote Sens. Lett., vol. 6, no. 3, pp. 562-566, July 2009. doi:
10.1109/LGRS.2009.2021165.
[59] A. Shabou, F. Baselice, and G. Ferraioli, " Urban digital elevation
model reconstruction using very high resolution multichannel
InSAR data, " IEEE Trans. Geosci. Remote Sens., vol. 50, no. 11,
pp. 4748-4758, Nov. 2012. doi: 10.1109/TGRS.2012.2191155.
[60] F. Baselice, G. Ferraioli, V. Pascazio, and G. Schirinzi, " Contextual
information-based multichannel synthetic aperture
radar interferometry: Addressing DEM reconstruction using
contextual information, " IEEE Signal Process. Mag., vol. 31,
no. 4, pp. 59-68, July 2014. doi: 10.1109/MSP.2014.2312282.
[61] G. Ferraiuolo, F. Meglio, V. Pascazio, and G. Schirinzi, " DEM
reconstruction accuracy in multichannel SAR interferometry, "
IEEE Trans. Geosci. Remote Sens., vol. 47, no. 1, pp. 191-201, July
2009. doi: 10.1109/TGRS.2008.2002644.
[62] H. Yu, Z. Li, and Z. Bao, " A cluster-analysis-based efficient
multibaseline phase-unwrapping algorithm, " IEEE Trans.
Geosci. Remote Sens., vol. 49, no. 1, pp. 478-487, Jan. 2011. doi:
10.1109/TGRS.2010.2055569.
[63] H. Liu, M. Xing, and Z. Bao, " A cluster-analysis-based noise-robust
phase-unwrapping algorithm for multibaseline interferograms, "
IEEE Trans. Geosci. Remote Sens., vol. 53, no. 1, pp. 494-504, Jan. 2015.
[64] Z. Jiang, J. Wang, Q. Song, and Z. Zhou, " A refined cluster-analysis-based
multibaseline phase-unwrapping algorithm, " IEEE
Geosci. Remote Sens. Lett., vol. 14, no. 9, pp. 1565-1569, Sept.
2017. doi: 10.1109/LGRS.2017.2723050.
[65] Z. Yuan, Z. Lu, L. Chen, and X. Xing, " A closed-form robust
cluster-analysis-based multibaseline InSAR phase unwrapping
and filtering algorithm with optimal baseline combination
analysis, " IEEE Trans. Geosci. Remote Sens., vol. 58, no. 6,
pp. 4251-4262, June 2020. doi: 10.1109/TGRS.2019.2962001.
[66] L. Zhou, H. Yu, Y. Lan, S. Gong, and M. Xing, " CANet: An unsupervised
deep convolutional neural network for efficient
cluster-analysis-based multibaseline InSAR phase unwrapping, "
IEEE Trans. Geosci. Remote Sens., 2020, to be published.
[67] H. Yu and Y. Lan, " Robust two-dimensional phase unwrapping
for multibaseline SAR interferograms: A two-stage programming
approach, " IEEE Trans. Geosci. Remote Sens., vol. 54, no. 9,
pp. 5217-5225, Sept. 2016. doi: 10.1109/TGRS.2016.2558541.
[68] H. Yu, H. Lee, N. Cao, and Y. Lan, " Optimal baseline design
for multibaseline InSAR phase unwrapping, " IEEE Trans. Geosci.
Remote Sens., vol. 57, no. 8, pp. 5738-5750, Aug. 2019. doi:
10.1109/TGRS.2019.2901873.
[69] X. Sun, A. Zimmer, S. Mukherjee, N. K. Kottayil, P. Ghuman,
and I. Cheng, " DeepInSAR: A deep learning framework for SAR
interferometric phase restoration and coherence estimation, "
Remote Sens., vol. 12, no. 4, p. 2304, July 2020.
[70] F. Sica, G. Gobbi, P. Rizzoli, and L. Bruzzone, " f-Net: Deep residual
learning for InSAR parameters estimation, " IEEE Trans.
Geosci. Remote Sens., early access, Sept. 2020.
[71] B. Rouet-Leduc, M. Dalaison, P. A. Johnson, and R. Jolivet,
" Deep learning InSAR: Atmospheric noise removal and small
deformation signal extraction from InSAR time series using a
convolutional autoencoder, " in Proc. Amer. Geophysical Union
Fall Meeting, 2019, pp. G21A-07.
[72] N. K. Kottayil, A. Zimmer, S. Mukherjee, X. Sun, P. Ghuman,
and I. Cheng, " Accurate pixel-based noise estimation for InSAR
interferograms, " in Proc. IEEE Sensors, Oct. 2018, pp. 28-31.
[73] D. Silver et al., " Mastering the game of Go without human
knowledge, " Nature, vol. 550, no. 7676, pp. 354-359, 2017. doi:
10.1038/nature24270.
GRS
28
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE JUNE 2021
IEEE Geoscience and Remote Sensing Magazine - June 2021

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - June 2021
