Oil Spill Detection and Monitoring from Satellite Image
To design such a model oil spill image processing modules were placed on the PCI’s Modeler canvas, and then connected the modules via pipes to create a process flow (Figure 2). Parameters for the spill detection modules were set in advance and the model was launched. During the execution of the model, graphical cues followed the data flow through the process.
 Figure 2 Automatic detection of oil spill using Visual Modeler was designed to detect any spilled oil in a short time. Results and Discussions Figure 3 shows the results of pre-processing after APC, radiometric and geometric correction. Figure 4 shows the image gray level scaling and quantization, which applied on, calibrated radar brightness image to perform a linear mapping of image gray levels to a desired output range. This program is typically used to scale data from "high" resolution (32 and 16-bit) channels to "low" resolution (16 and 8-bit) channels.  Figure 3 Geometric Correction based on GCPWorks Main panel.  Figure 4 Scaling performs a linear mapping of image gray levels to a desired output range. |