Method for providing a polarization filter for processing synthetic aperture radar image data

• US 5,057,843 A
• Filed: 06/25/1990
• Issued: 10/15/1991
• Est. Priority Date: 06/25/1990
• Status: Expired due to Fees

• Current Assignee: United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration
• Original Assignee: United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration
• Inventors: Dubois, Pascale C., vanZyl, Jakob J.
• Primary Examiner(s): Barron, Jr., Gilberto
• Application Number:
  US07/544,293
• Time in Patent Office: 477 Days
• Field of Search: 342/25, 342/179, 342/188, 382/54
• US Class Current: 342/25.00A
• CPC Class Codes: G01S 13/003 Bistatic radar systems; Multistatic radar systems
• CPC Class Codes: G01S 13/9076 Polarimetric features in SAR
• CPC Class Codes: G01S 7/024 using polarisation effects in waveguides H01P1/165; for aerials H01Q, e.g. H01Q15/22, H01Q15/24, H01Q19/195
• CPC Class Codes: H01Q 15/12 functioning also as polarisation filter polarisation converters H01Q15/242

Abstract

A polarization filter can maximize the signal-to-noise ratio of a polarimetric SAR and help discriminate between targets or enhance image features, e.g., enhance contract between different types of target. The method disclosed is based on the Stokes matrix/Stokes vector representation, so the targets of interest can be extended targets, and the method can also be applied to the case of bistatic polarimetric radars.

Claims

1. In a polarimetric synthetic aperture radar imaging system, a method for polarization filtering in order to maximize the signal-to-noise ratio comprising the steps of

assuming a constant gain of said transmit and receive antennas and assuming uncorrelated noise as a first step,

then maximizing S_r^T A S_t, as a second step where S_t and S_r^T are the Stokes vectors characterizing some arbitrary polarization configuration of said transmit and receive antennas, and A is the average Stokes 4×

4 real matrix ##EQU33## where u denotes the transpose of u,

u and v are 3-element real vectors, and

Q is a 3×

3 real matrix,

by maximizing the expression ##EQU34## using the Lagrangian multiplier method to produce the equations ##EQU35## where λ

₁ and λ

₂ are the Lagrangian multipliers, and s_t and s_r are Stokes vectors characterizing transmit and receive antennas, and

having a known Stokes vector for the transmit antenna determining the receive antenna polarization which maximizes the signal-to-noise ratio as a third step from the equation ##EQU36## where | | denotes the norm, thereby effectively maximizing received power by matching the polarization of the scattered wave incident upon the receive antenna with polarization of the receive antenna such that power P is maximized under the constraints of assumptions set forth in the first step above in accordance with the equation ##EQU37##

2. In a synthetic aperture radar imaging system as defined in claim 1, a method for maximizing the ratio of signal power p.sup.(1) scattered by one type of target to the signal power p.sup.(2) scattered by another type of target in order to maximize the ratio of the powers scattered by two different types of targets comprising the steps of first assuming the transmit antenna polarization is such that the Stokes vector of the transmit antenna for the two target types are defined as ##EQU38## and the Stokes vector of the receive antenna is defined as ##EQU39## where S_r is a completely polarized wave that satisfies ##EQU40## and as a second step maximizing the contrast ##EQU41##

3. A method as defined in claim 2 wherein the second step of maximizing contrast C(s_r) subject to the constraint that S_r0² =s_r.sup.. s_r =1 is carried out by introducing Lagrangian multipliers and after performing differentiation finding that the optimum polarizations are the solutions to ##EQU42## where μ

is the Lagrangian multiplier.

4. A method as defined in claim 2, wherein a shorthand term ##EQU43## is introduced, and the equation ##EQU44## is rewritten using that shorthand term as s(α

)=μ

s_r where s(α

)≡

s₁ -α

s₂ such that ##EQU45## and the optimum polarizations are therefore ##EQU46## which always represents a fully polarized wave, and then solving for α

, an unknown, by substituting the expression ##EQU47## for s_r into the equation ##EQU48## to produce the quqadratic ##EQU49## whereby the optimum values of α

if S₀₂² ≠

s₂.sup.. s₂ ##EQU50## which define optimum values of said contrast ratio C(s_r) that are real, positive and definite values.

5. A method as defined in claim 4 wherein equations for α

_max and α

_min are substituted in equation

space="preserve" listing-type="equation">s.sub.a -α

s.sub.2 =μ

s.sub.r

and substituting the resulting expression for α

in said equation ##EQU51## to find the optimum antenna polarizations to be ##EQU52## where | | denotes the norm, and choosing the receiver antenna polarization to be orthogonal to the completely polarized scattered wave ##EQU53## for maximum contrast ratio, thereby providing an optimum receive antenna polarization for maximum contrast ratio for a given transmit antenna polarization.

6. A method as defined in claim 5 including the step of varying the transmit antenna polarization to maximize contrast between targets of different types over all possible configurations.

7. A method as defined in claim 6 wherein said different types of targets are man made in urban areas for one type and natural in nonurban areas for the other type, said natural type including forest, grass and ocean areas.