Advanced search
Publication Cover
European Journal of Remote Sensing Volume 52, 2019 - Issue 1
Submit an article Journal homepage
2,252
Views
9
CrossRef citations to date
0
Altmetric
Research Article

It is a misunderstanding that log ratio outperforms ratio in change detection of SAR images

Huifu Zhuanga Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou, China;b NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou, ChinaCorrespondence[email protected]
View further author information
,
Zhixiang Tana Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou, ChinaView further author information
,
Kazhong Denga Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou, China;b NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou, ChinaView further author information
&
Hongdong Fanb NASG Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou, ChinaView further author information
Pages 484-492 | Received 20 Sep 2018, Accepted 04 Aug 2019, Published online: 19 Aug 2019

References

  • Akbari, V., Anfinsen, S.N., Doulgeris, A.P., & Eltoft, T. (2016). Polarimetric SAR change detection with the complex Hotelling–Lawley trace statistic. IEEE Transactions on Geoscience & Remote Sensing, 54(7), 3953–3966. doi:10.1109/TGRS.2016.2532320
  • Argenti, F., & Alparone, L. (2002). Speckle removal from SAR images in the undecimated wavelet domain. IEEE Transactions on Geoscience & Remote Sensing, 40(11), 2363–2374. doi:10.1109/TGRS.2002.805083
  • Bazi, Y., Bruzzone, L., & Melgani, F. (2005). An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images. IEEE Transactions on Geoscience & Remote Sensing, 43(4), 874–887. doi:10.1109/TGRS.2004.842441
  • Bovolo, F., & Bruzzone, L. (2005). A detail-preserving scale-driven approach to change detection in multitemporal SAR images. IEEE Transactions on Geoscience & Remote Sensing, 43(12), 2963–2972. doi:10.1109/TGRS.2005.857987
  • Bovolo, F., Marin, C., & Bruzzone, L. (2013). A hierarchical approach to change detection in very high resolution SAR images for surveillance applications. IEEE Transactions on Geoscience & Remote Sensing, 51(4), 2042–2054. doi:10.1109/TGRS.2012.2223219
  • Bruzzone, L., & Prieto, D.F. (2000). Automatic analysis of the difference image for unsupervised change detection. IEEE Transactions on Geoscience & Remote Sensing, 38(3), 1171–1182. doi:10.1109/36.843009
  • Chehata, N., Orny, C., Boukir, S., Guyon, D., & Wigneron, J.P. (2014). Object-based change detection in wind storm-damaged forest using high-resolution multispectral images. International Journal of Remote Sensing, 35(13), 4758–4777. doi:10.1080/01431161.2014.930199
  • Dekker, R.J. (1998). Speckle filtering in satellite SAR change detection imagery. International Journal of Remote Sensing, 19(6), 1133–1146. doi:10.1080/014311698215649
  • Gleich, D., & Datcu, M. (2006). Gauss-Markov model for wavelet-based SAR image despeckling. IEEE Signal Processing Letters, 13(6), 365–368. doi:10.1109/LSP.2006.871712
  • Gong, M., Cao, Y., & Wu, Q. (2012). A neighborhood-based ratio approach for change detection in SAR images. IEEE Geoscience & Remote Sensing Letters, 9(2), 307–311. doi:10.1109/LGRS.2011.2167211
  • Hachicha, S., & Chaabane, F. (2014). On the SAR change detection review and optimal decision. International Journal of Remote Sensing, 35(5), 1693–1714. doi:10.1080/01431161.2014.882030
  • Lu, D., Mausel, P., & Moran, E.B.E. (2004). Change detection techniques. International Journal of Remote Sensing, 25(12), 2365–2401. doi:10.1080/0143116031000139863
  • Ma, J., Gong, M., & Zhou, Z. (2012). Wavelet fusion on ratio images for change detection in SAR images. IEEE Geoscience & Remote Sensing Letters, 9(6), 1122–1126. doi:10.1109/LGRS.2012.2191387
  • Oliver, C., & Quegan, S. (2004). Understanding synthetic aperture radar images. Raleigh: SciTech Publishing.
  • Rignot, E.J.M., & Van Zyl, J.J. (1993). Change detection techniques for ERS-1 SAR data. IEEE Transactions on Geoscience & Remote Sensing, 31(4), 896–906. doi:10.1109/36.239913
  • Singh, A. (1989). Review article digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10(6), 989–1003. doi:10.1080/01431168908903939
  • Su, L., Gong, M., & Sun, B. (2014). Change detection in synthetic aperture radar images based on non-local means with ratio similarity measurement. International Journal of Remote Sensing, 35(22), 7673–7690. doi:10.1080/01431161.2014.975378
  • Webb, G.I., & Ting, K. (2005). On the application of ROC analysis to predict classification performance under varying class distributions. Machine Learning, 58(1), 25–32. doi:10.1007/s10994-005-4257-7
  • Zhuang, H., Deng, K., Fan, H., & Ma, S. (2018). A novel approach based on structural information for change detection in SAR images. International Journal of Remote Sensing, 39(8), 2341–2365. doi:10.1080/01431161.2017.1421794
  • Zhuang, H., Deng, K., Fan, H., & Yu, M. (2016). Strategies combining spectral angle mapper and change vector analysis to unsupervised change detection in multispectral images. IEEE Geoscience & Remote Sensing Letters, 13(5), 681–685. doi:10.1109/LGRS.2016.2536058
  • Zhuang, H., Fan, H., Deng, K., & Yao, G. (2018). A spatial-temporal adaptive neighborhood-based ratio approach for change detection in SAR images. Remote Sensing, 10(8), 1295. doi:10.3390/rs10081295
  • Zhuang, H., Fan, H., Deng, K., & Yu, Y. (2018). An improved neighborhood-based ratio approach for change detection in SAR images. European Journal of Remote Sensing, 51(1), 723–738. doi:10.1080/22797254.2018.1482523

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.