Classification Using Optimal Polarimetric Parameters for Compact Polarimetric Data

Author:

Shah HemaniORCID,Patel Samir B.ORCID,Patel Vibha D.ORCID

Publisher

Springer Nature Switzerland

Reference27 articles.

1. Amani, M., Salehi, B., Mahdavi, S., Brisco, B.: Separability analysis of wetlands in Canada using multi-source SAR data. GISci. Remote Sens. 56(8), 1233–1260 (2019)

2. Carrão, H., Sarmento, P., Araújo, A., Caetano, M.: Separability analysis of land cover classes at regional scale: a comparative study of MERIS and MODIS data. In: Proceedings of the Envisat Symposium, pp. 23–27 (2007)

3. Chauhan, S., Srivastava, H.S.: Comparative evaluation of the sensitivity of multi-polarized SAR and optical data for various land cover classes. Int. J. Adv. Remote Sens. GIS Geogr. 4(1), 1–14 (2016)

4. Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321–357 (2002)

5. Dabboor, M., Howell, S., Shokr, M., Yackel, J.: The Jeffries-Matusita distance for the case of complex Wishart distribution as a separability criterion for fully polarimetric SAR data. Int. J. Remote Sens. 35(19), 6859–6873 (2014)

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