Abstract
In a homogeneous lossless material at far distance from the source and in a limited angular range such that \(\pmb{\mathcal{F}}(\vartheta,\varphi )\) in (3.33) is almost constant, the field is regarded as a function of distance r only, of the form
where the factor C includes the amplitude information, and the unit vector \(\pmb{\mathfrak{e}}_{0}{}_{\infty }\) accounts for the polarization. In Earth observation, the distance r between the source (Sun, satellite, scattering object) and the region where the field is considered is generally quite large with respect to the dimension of the region itself. For instance, the distance from the Sun is large compared with the dimension of the elementary portion of the Earth’s surface being imaged by a space-based optical sensor. Analogously, the dimension of the antenna receiving the power scattered from the surface is much smaller than the distance between the observed surface and the platform on which the antenna is based. Therefore, within such limited angular ranges, the spherical wave surface Φ = κ r does not differ appreciably from a plane surface, neither the angular pattern changes. Again, this features apply to the solar radiation illuminating the scene instantaneously observed by a spectrometer, to the field locally created on the earth surface by a space-based radar, or to the wave reflected from an area of the surface and collected by the aperture of a satellite sensor. In such limited regions of space, in practice, the radial unit vector \(\boldsymbol{\mathrm{r}}_{0}\) is regarded as constant.
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- 1.
From now on the subscript \(_{\infty }\) is dropped in the expression of the plane wave.
- 2.
The density of free charge vanishes everywhere in a source-free neutral material.
- 3.
The magnetic field has clearly the same expression as the electric field.
- 4.
Section 6.4 discusses this relevant case.
- 5.
An examples is given in Sect. 6.3.
- 6.
A homogeneous wave is assumed.
- 7.
The attenuation constant α ≥ 0 since \(\tilde{\epsilon }_{\mathrm{j}} \leq 0\) (Sect. 2.1).
- 8.
The expressions hold for frequencies far from resonance and relaxation.
- 9.
Exponential decay of the field is subject to the homogeneity of the propagation medium.
- 10.
Since the material is assumed homogeneous, α is constant.
- 11.
Weak losses clearly include the lossless case.
- 12.
It is understood that the deviations of \(\lambda\) from \(\lambda _{0}\), however small, cannot be neglected in certain applications, as, for instance, radar interferometry (cf. Sect. 12.3.2.1).
- 13.
In a lossless medium, \(\boldsymbol{\alpha }= 0\), so that \(\boldsymbol{k} \equiv \boldsymbol{\beta }\).
- 14.
The variation with distance r is understood to be in the direction \(\boldsymbol{\mathrm{k}}_{0}\) of the propagation vector.
- 15.
In optics, the excess refractive index \(\updelta n = n - 1\) is usually called refractivity.
- 16.
The effects of CO2, which are generally small, are taken into account when enhanced accuracy is required.
- 17.
The correct concept of specific absorption is introduced in Sect. 5.3.2.2.
- 18.
The intensity interference fringes are considered here, while the phase fringes are specifically considered in Sect. 12.3.1.
- 19.
Here the minimum value is \(\vert \boldsymbol{E}_{\mathrm{tot}}(x)\vert = 0\), since the waves are assumed of the same amplitude.
- 20.
SAR interferometry requires a somewhat different approach [6], although the concepts are analogous.
- 21.
The intensity fringes are determined by the phase pattern of the interfering waves and replicate this latter, which, however, can be directly measured and displayed, as detailed in Sect. 12.3.1.
- 22.
\(\mathcal{B}_{\upphi }\) is a function of time when the individual interfering waves exist at different times, as it occurs for repeat-pass interferometry (Sect. 12.3.3.1).
- 23.
The normal distribution assumption is significant and useful, but, given the \(\bmod (\varPhi, 2\uppi )\) phase feature, may possibly lead to inconsistent results.
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Solimini, D. (2016). Waves and Fields. In: Understanding Earth Observation. Remote Sensing and Digital Image Processing, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-25633-7_4
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