Change Detection and Image Time-Series Analysis 1. Группа авторов

href="https://doi.org/10.1080/01431161.2019.1602792">https://doi.org/10.1080/01431161.2019.1602792.

      Wu, Z., Hu, Z., Fan, Q. (2012). Superpixel-based unsupervised change detection using multi-dimensional change vector analysis and SVM-based classification. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, I-7, 257–262 [Online]. Available at: https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-7/257/2012/.

      Zanetti, M., Bovolo, F., Bruzzone, L. (2015). Rayleigh–Rice mixture parameter estimation via EM algorithm for change detection in multispectral images. IEEE Transactions on Image Processing, 24(12), 5004–5016.

      Zhang, W., Lu, X., Li, X. (2018). A coarse-to-fine semi-supervised change detection for multispectral images. IEEE Transactions on Geoscience and Remote Sensing, 56(6), 3587–3599.