381
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Object-oriented polarimetric SAR image classification via the combination of a pixel-based classifier and a region growing technique

, , , &
Article: 2244149 | Received 10 Nov 2022, Accepted 31 Jul 2023, Published online: 23 Aug 2023

References

  • Atwood, D. K., Small, D., & Gens, R. (2012). Improving PolSAR land cover classification with radiometric correction of the coherency matrix. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(3), 848–550. https://doi.org/10.1109/JSTARS.2012.2186791
  • Bi, X., Sun, J., & Xu, Z. (2017). Unsupervised PolSAR image classification using discriminative clustering. IEEE Transactions on Geoscience and Remote Sensing, 55(6), 3531–3544. https://doi.org/10.1109/TGRS.2017.2675906
  • Chen, J., Chen, Y., An, W., Cui, Y., & Yang, J. (2011). Nonlocal filtering for polarimetric SAR data: A pretest approach. IEEE Transactions on Geoscience and Remote Sensing, 49(5), 1744–1754. https://doi.org/10.1109/TGRS.2010.2087763
  • Cheng, J., Zhang, F., Xiang, D., Yin, Q., Zhou, Y., & Wang, W. (2021). PolSAR image land cover classification based on hierarchical capsule network. Remote Sensing, 13(16), 3132–3162. https://doi.org/10.3390/rs13163132
  • Cloude, R., & Pottier, E. (1996). A review of target decomposition theorems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing, 34(2), 498–518. https://doi.org/10.1109/36.485127
  • Cloude, R., & Pottier, E. (1997). An entropy based classification scheme for land applications of polarimetric SAR. IEEE Transactions on Geoscience and Remote Sensing, 35(1), 68–78. https://doi.org/10.1109/36.551935
  • Conradsen, K., Nielsen, A., Schou, J., & Skriver, H. (2003). A test statistic in the complex Wishart distribution and its application to change detection in polarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing, 41(1), 4–19. https://doi.org/10.1109/TGRS.2002.808066
  • Denize, J., Hubert-Moy, L., & Pottier, E. (2019). Polarimetric SAR Time-Series for Identification of Winter Land Use. Sensors, 19(24), 5574–5593. https://doi.org/10.3390/s19245574
  • Freeman, A., & Durden, S. L. (1998). A three-component scattering model for polarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing, 36(3), 963–973. https://doi.org/10.1109/36.673687
  • Fu, H., Sun, G., Ren, J., Zhang, A., & Jia, X. (2022). Fusion of PCA and segmented-PCA domain multiscale 2-D-SSA for effective spectral-spatial feature extraction and data classification in hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–14. https://doi.org/10.1109/TGRS.2020.3034656
  • Goodman, N. (1963). Statistical analysis based on a certain multivariate complex gaussian distribution (an introduction). Annals of Mathematical Statistics, 34(1), 152–177. https://doi.org/10.1214/aoms/1177704250
  • Hao, S., Cui, Y., & Wang, J. (2021). Segmentation scale effect analysis in the object-oriented method of high-spatial-resolution image classification. Sensors, 21(23), 7935. https://doi.org/10.3390/s21237935
  • Hua, W., Xie, W., & Jin, X. (2020). Three-channel convolutional neural network for polarimetric SAR images classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 4895–4907. https://doi.org/10.1109/JSTARS.2020.3018161
  • Lee, J. S., Grunes, M. R., & Kwok, R. (1994). Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution. International Journal of Remote Sensing, 15(11), 2299–2311. https://doi.org/10.1080/01431169408954244
  • Lee, J. S., Grunes, M. R., Pottier, E., & Ferro-Famil, L. (2004). Unsupervised terrain classification preserving polarimetric scattering characteristics. IEEE Transactions on Geoscience and Remote Sensing, 42(4), 722–731. https://doi.org/10.1109/TGRS.2003.819883
  • Lopes, A., Touzi, R., & Nezry, E. (1990). Adaptive speckle filters and scene heterogeneity. IEEE Transactions on Geoscience and Remote Sensing, 28(6), 992–1000. https://doi.org/10.1109/36.62623
  • Maghsoudi, Y., Collins, M., & Leckie, D. (2013). Radarsat-2 polarimetric SAR data for boreal forest classification using SVM and a wrapper feature selector. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3), 1531–1538. https://doi.org/10.1109/JSTARS.2013.2259219
  • Mao, X., Xiao, X., & Lu, Y. (2022). PolSAR data-based land cover classification using dual-channel watershed region-merging segmentation and bagging-ELM. IEEE Transactions on Geoscience and Remote Sensing, 19, 1–5. https://doi.org/10.1109/LGRS.2020.3018162
  • Ma, X., Wang, C., Yin, Z., & Wu, P. (2020). SAR image despeckling by noisy reference-based deep learning method. IEEE Transactions on Geoscience and Remote Sensing, 58(12), 8807–8818. https://doi.org/10.1109/TGRS.2020.2990978
  • Ma, X., Xu, J., Wu, P., & Kong, P. (2022). Oil spill detection based on deep convolutional neural networks using polarimetric scattering information from sentinel-1 SAR images. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–13. https://doi.org/10.1109/TGRS.2021.3126175
  • Munishamaiaha, K., Rajagopal, G., Venkatesan, D. K., Arif, M., Vicoveanu, D., Chiuchisan, I., Izdrui, D., & Geman, O. (2022). Robust spatial–spectral squeeze–excitation adabound dense network (SE-AB-densenet) for hyperspectral image classification. Sensors, 22(9), 3229–3253. https://doi.org/10.3390/s22093229
  • Sun, W., Li, P., Du, B., Yang, J., Tian, L., Li, M., & Zhao, L. (2020). Scatter matrix based domain adaptation for Bi-Temporal polarimetric SAR images. Remote Sensing, 12(4), 658–684. https://doi.org/10.3390/rs12040658
  • Wu, Q., Wen, Z., Wang, Y., Luo, Y., Li, H., & Chen, Q. (2022). A statistical-spatial feature learning network for PolSAR image classification. IEEE Geoscience and Remote Sensing Letters, 19, 1–5. https://doi.org/10.1109/LGRS.2021.3100431
  • Yin, J., Liu, X., Yang, J., Chu, Y., & Chang, L. (2020). PolSAR image classification based on statistical distribution and MRF. Remote Sensing, 12(6), 1027–1050. https://doi.org/10.3390/rs12061027
  • Zhang, X., Xu, J., Chen, Y., Xu, K., & Wang, D. (2021). Coastal wetland classification with GF-3 polarimetric SAR imagery by using object-oriented random forest algorithm. Sensors, 21(10), 3395–3413. https://doi.org/10.3390/s21103395
  • Zhu, L., Ma, X., Wu, P., & Xu, J. (2021). Multiple classifiers based semi-supervised polarimetric SAR image classification method. Sensors, 21(9), 3006. https://doi.org/10.3390/s21093006