Pattern Based Orbit Identification for Scatterometer Level-0 Signal Images

Considering the raw data extraction algorithms designed for different sensor data this paper focuses on the SCATTEROMETER Level-0 data extracted from raw data products. An analysis of extracted signal images is shown. Then a very simple technique but a very important concept is described and implemented on such signal images. Paper shows the approach which can be help full for identification of number of orbits in to the raw data products. The main objective of this approach is to provide the statistics to the application specific user. The approach is based on analyzed behavior of signal images extracted from the raw product. This approach defines a very basic standard to identify number of orbits based on SCATTEROMETER signal images. An implementation algorithm with its time complexity is shown with the corresponding implementation in C language. The proposed approach is for signal images of Data Quality Evaluation Level-0 SCATTEROMETER signal images, but it can also be extended for other signal images. The assumption for the paper is, the scanning geometry of signal image has been established in terms of scans and pixels i.e. header or interpretation format of the signal data.