Pattern recognition via multispectral, hyperspectral, and polarization-based imaging

Aed El-Saba; Mohammad S. Alam; Wesam A. Sakla

doi:10.1117/12.851689

13 May 2010 Pattern recognition via multispectral, hyperspectral, and polarization-based imaging

Aed El-Saba, Mohammad S. Alam, Wesam A. Sakla

Proceedings Volume 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI; 76961M (2010) https://doi.org/10.1117/12.851689
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Pattern recognition deals with the detection and identification of a specific target in an unknown input scene. Target features such as shape, color, surface dynamics, and material characteristics are common target attributes used for identification and detection purposes. Pattern recognition using multispectral (MS), hyperspectral (HS), and polarization-based spectral (PS) imaging can be effectively exploited to highlight one or more of these attributes for more efficient target identification and detection. In general, pattern recognition involves two steps: gathering target information from sensor data and identifying and detecting the desired target from sensor data in the presence of noise, clutter, and other artifacts. Multispectral and hyperspectral imaging (MSI/HSI) provide both spectral and spatial information about the target. As the reflection or emission spectral signatures depend on the elemental composition of objects residing within the scene, the polarization state of radiation is sensitive to the surface features such as relative smoothness or roughness, surface material, shapes and edges, etc. Therefore, polarization information imparted by surface reflections of the target yields unique and discriminatory signatures which could be used to augment spectral target detection techniques, through the fusion of sensor data. Sensor data fusion is currently being used to effectively recognize and detect one or more of the target attributes. However, variations between sensors and temporal changes within sensors can introduce noise in the measurements, contributing to additional target variability that hinders the detection process. This paper provides a quick overview of target identification and detection using MSI/HSI, highlighting the advantages and disadvantages of each. It then discusses the effectiveness of using polarization-based imaging in highlighting some of the target attributes at single and multiple spectral bands using polarization spectral imaging (PSI), known as spectropolarimetry imaging.

Citation Download Citation

Aed El-Saba, Mohammad S. Alam, and Wesam A. Sakla "Pattern recognition via multispectral, hyperspectral, and polarization-based imaging", Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76961M (13 May 2010); https://doi.org/10.1117/12.851689

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