The code is used to generate the synthetic dataset. The code generates synthetic data according to the procedure outlined in [1]. The different files meris_case_1.py and meris_case_2.py are used to simulate case 1 and case 2 water [1] respectively. In our work only case 1 was investigated. By varying the parameter n_samples it is possible to regulate the dimension of the dataset.
[1]📜P. Cipollini, G. Corsini, M. Diani, and R. Grasso, “Retrieval of sea
water optically active parameters from hyperspectral data by means of
generalized radial basis function neural networks,” IEEE Transactions
on Geoscience and Remote Sensing, vol. 39, no. 7, pp. 1508–1524, 2001
