Samenvatting

This bachelor research consists of creating two two-dimensional light band scattering simulations
using the method of moments technique applied to the scalar wave approximation and the small
perturbation method taken from Tsang et al. (2001). The simulations are verified for wavelengths
in the far infrared ranging from 30 μm to 65 μm and are then used to simulate band scattering
from 30 μm to 210 μm which represents the SAFARI detection range (ESA, 2014). It is shown
that with the current manufacturing capabilities present within SRON, proper scattering surfaces
cannot be achieved. The test samples for the light scattering experiments are aluminum type
6061 plates and are sandblasted using various pressures, nozzle distances, exposure times, and
grain sizes. An artificial neural network (ANN) is created with the purpose of imitating the
sandblasting process. Taguchi's orthogonal arrays scheme is used to create a training set and the
network was verified against 5 samples with different parameters. A surface profile analysis tool
is written in MATLAB which can detrend, extrapolate, and perform several hypothesis tests on
the measured prole data. The analysis of these statistics has shown that due to the variable
irregularities of the entire surface profile, extensive care must be taken when applying filters to
separate the drift component from the rough component of the measured profile. Additionally it
is investigated whether independent component analysis (ICA) can be applied in the case when
a test sample is processed with two different types of grains sequentially.