Ship Detection From Raw SAR Echo Data

In the context of ship monitoring in ocean, targets are usually sparsely distributed. Thus, synthetic aperture radar (SAR) imaging whole scene is quite redundant and costly. However, raw SAR echo data were considered to be useless before focusing. Few studies have attempted detect ships from data. It seems an impossible task since resolution too low. This article proposes a detection method for view nonimaging target sensing paradigm. The core idea that we can sense existence without imaging. underlying rationale always speaks same sentence, i.e., exactly identical linear frequency modulated (LFM) signal, while clutter answer differently. difference spread into each part sequence rather than only focused energy after match filtering. found by pattern analysis on one-dimension two-dimension images. experimental results based simulation typical real validate our assumption. study shows unnecessary intermediate process opens up new significant possibilities vast ocean.