## 2 SLAR Image
Figure 2 shows a SLAR image that represents 7\({}^{\prime}\) and 20\({}^{\prime\prime}\) of a sea surface scan taken by the aircraft shown in Figure 1. This digital image was acquired on a marine surveillance mission on an ascending fight path (between 1552 and 1896 ft.), on which the initial latitude and longitude were N 40\({}^{\circ}\)51\({}^{\prime}\) and E 002\({}^{\circ}\)22.8\({}^{\prime}\) for the starting point and N 39\({}^{\circ}\)54.8\({}^{\prime}\)-E 1\({}^{\circ}\)11\({}^{\prime}\) for the end point. The dataset used as input in our experimentation contains 7 SLAR images of oil-slick scenes, which were acquired by a TERMA SLAR 9000 sensor (TERMA A/S, Lystrup, Denmark) mounted on an EADS-CASA CN 235-300 aircraft (EADS CASA/Airbus Group, Madrid, Spain). TERMA SLAR is a Media Wave Radar (MWR) sensor with a frequency of 9.375 MHz that, when mounted on a CN 235-300, can view about 46 km on each side of the aircraft. The beam width of each SLAR antenna is 0.6\({}^{\circ}\) horizontal and 19\({}^{\circ}\) vertical. All the images have a resolution of 1157 \(\times\) 482 pixels and each pixel is 8 bits in depth, according to the digitalization of the Terma sensor control software. They were supplied by the Spanish Maritime Safety and Rescue Agency (SASEMAR). The details of the SLAR images used in the experimentation are described in Table 1. In addition, the proposal method is presented in Figure 3 and some of the used parameters are summarized in Table 2. \begin{table}
\begin{tabular}{l c c c c} \hline \hline
**Image** & **Location (Latitude-Longitude)** & **Time Sequence** & **Wind Speed on Surface Sea** & **Altitude of Aircraft** \\ \hline \multirow{2}{*}{Mission 1 (Figure 2)} & N 38\({}^{\circ}\)19.9\({}^{\prime}\)-E 0\({}^{\circ}\)23.3\({}^{\prime}\) & 6 min 39 s & 6 kn & 1061 ft \\  & N 38\({}^{\circ}\)18.3\({}^{\prime}\)-E 0\({}^{\circ}\)09.4\({}^{\prime}\) & 6 min 39 s & 10 kn & 1102 ft \\ \hline \multirow{2}{*}{Mission 2 (Figure 4)} & N 40\({}^{\circ}\)04.3\({}^{\prime}\)-E 1\({}^{\circ}\)28.9\({}^{\prime}\) & \multirow{2}{*}{6 min 24 s} & 0 kn & 1054 ft \\  & N 40\({}^{\circ}\)10.6\({}^{\prime}\)-E 1\({}^{\circ}\)14.5\({}^{\prime}\) & 4 km & 4 km & 1036 ft \\ \hline \multirow{2}{*}{Mission 3 (Figure 5)} & N 40\({}^{\circ}\)09.4\({}^{\prime}\)-E 1\({}^{\circ}\)21.5\({}^{\prime}\) & \multirow{2}{*}{5 min 49 s} & 0 kn & 4500 ft \\  & N 40\({}^{\circ}\)17.0\({}^{\prime}\)-E 1\({}^{\circ}\)14.4\({}^{\prime}\) & & 22 kn & 4511 ft \\ \hline \multirow{2}{*}{Mission 4 (Figure 6)} & N 40\({}^{\circ}\)51.0\({}^{\prime}\)-E 2\({}^{\circ}\)22.8\({}^{\prime}\) & \multirow{2}{*}{7 min 20 s} & 0 kn & 1552 ft \\  & N 40\({}^{\circ}\)53.8\({}^{\prime}\)-E 2\({}^{\circ}\)00.3\({}^{\prime}\) & & 19 kn & 1806 ft \\ \hline \multirow{2}{*}{Mission 5 (Figure 6)} & N 37\({}^{\circ}\)36.1\({}^{\prime}\)-W 0\({}^{\circ}\)29.9\({}^{\prime}\) & \multirow{2}{*}{3 min 12 s} & 16 kn & 4494 ft \\  & N 37\({}^{\circ}\)42.7\({}^{\prime}\)-W 0\({}^{\circ}\)20.8\({}^{\prime}\) & & 16 kn & 4494 ft \\ \hline \multirow{2}{*}{Mission 6 (Figure 6)} & N 39\({}^{\circ}\)53.5\({}^{\prime}\)-E 0\({}^{\circ}\)48.2\({}^{\prime}\) & \multirow{2}{*}{5 min 29 s} & 27 kn & 4540 ft \\  & N 39\({}^{\circ}\)54.5\({}^{\prime}\)-E 1\({}^{\circ}\)11.0\({}^{\prime}\) & & 15 kn & 4589 ft \\ \hline \multirow{2}{*}{Mission 7 (Table 3)} & N 39\({}^{\circ}\)59.5\({}^{\prime}\)-E 1\({}^{\circ}\)04.9\({}^{\prime}\) & \multirow{2}{*}{6 min 37 s} & 24 kn & 4596 ft \\  & N 40\({}^{\circ}\)04.0\({}^{\prime}\)-E 1\({}^{\circ}\)27.8\({}^{\prime}\) & & 6 kn & 1172 ft \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Information of SLAR dataset with final and initial data obtained on missions, respectively. Figure 2: SLAR images acquired by a Terma-sensor mounted on aircraft: Example of oil spill with noise caused by aircraft maneuvers.