Wavelet-based identification of objects from a distance

In remote sensing, accurate identification of concealed far objects is difficult. Here, to detect concealed objects from a distance, the wideband technology is utilized. As the wideband data includes a broad range of frequencies, it can reveal information about both the surface of the object and its content. To better detect the object and to improve the accuracy of target identification, the collected wideband data is processed in the wavelet domain. Information about the target is spread over different wavelet subbands, and it is possible to better discriminate the target from background for which their frequency content is placed in the same frequency range. Simulation is done at different frequency ranges and different powers to identify targets. In conclusion, wavelet-based processing of collected wideband data helps to appropriately estimate the presence of a target in the scene, and improves the process of target identification.