Paper
20 June 2014 Wavelet-based identification of objects from a distance
Ershad Sharifahmadian, Yoonsuk Choi, Shahram Latifi
Author Affiliations +
Abstract
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ershad Sharifahmadian, Yoonsuk Choi, and Shahram Latifi "Wavelet-based identification of objects from a distance", Proc. SPIE 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 90911B (20 June 2014); https://doi.org/10.1117/12.2050485
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Wavelets

Wavelet transforms

Target recognition

Radar

Signal attenuation

Antennas

Iron

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