Abstract
Conventional remote sensing devices always identify a target by its reflection intensity or radiation intensity. While the polarization characteristics are always treated as noise. In the recent years, with a development of spatial remote sensing technologies, researchers have noticed the polarization characteristics which are determined by surface optical features in the process of reflection, scattering, and transmission. Measuring the polarization intensity, polarization degree, polarization angle, polarization ellipticity and emissivity can provide higher accuracy than radiation measurements. Generally, the polarization reflection spectrum contains different polarization states of different objects or different object states (such as medium, structure, surface roughness, and soil water content) which are closely related to wavelength. Polarization imaging can eliminate background noise and enhance the accuracy of target detection and identification, so that it has extensive application prospects in the field of target detection, classification, recognition, ocean remote sensing, image enhancement in severe weather conditions, computer vision, surveillance, intelligent transportation, and medical diagnostics. In this chapter, the polarization Bidirectional Reflectance Distribution Function (BRDF) is taken as an example to show the polarization characteristics of both target and background.
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Zhao, Y., Yi, C., Kong, S.G., Pan, Q., Cheng, Y. (2016). Multi-band Polarization Bidirectional Reflectance Distribution Function. In: Multi-band Polarization Imaging and Applications. Advances in Computer Vision and Pattern Recognition. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49373-1_4
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DOI: https://doi.org/10.1007/978-3-662-49373-1_4
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