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Azirnu th (n l0 ld Þ 0c (lr) Figule 5.5: Seasat sirnulation rvith seven point scatteLer.s alignecl along a range ìine: (a) a simulatecl input signal of 4096 x 4096 pixels, (b) tlre r.econsír'uctecl subirlage of 4096 x 256 (r'ange x aziuruth) pixels. Range aud azirnu[h sampling inten,al ale t esl:ectively 6.6 rn ancl 4.5 n¡,.
that the inversiol method can accornmoclate the r.ange curvature. The lext Seasat <strong>SAR</strong> sinulation is carriecl out rvith the same size input clata allay (4096 x 4096), but the scatterers aLe assumed to have conplex backscatteling coefficierìts (Table 5.2). The image of the input signal is sliown in Figure 5.6 (a) aucl the leconstructecl image il Figure S.6 (b). ln aclclition to irnage reco'st.uctio', the phase ca, also be esti'ratecl fi.om the co'rplex output clata. The phase values at each corresponding scatteter''s locatioli are listed in Table 5.2. Figure 5.7 represents a colnl¡ined pelspective vierv irnage of the leconstructed phase value ancl the arnplitucle image in Figule 5.6 (b). In this courbined iurage, estimated phase is usecl as au elevation map, and thus the height of amplitucle irnage is propor.tional to tlie phase of the pixel. The gray level of amplitucle irnage was inver.tecl flom that of the oliginal image (Figure 5.6 (b)), tlìat is, larger amplitude pixel is representecl by clarhel glay level. The phase value at pixels having amplitucle less than - 40 dB around scatterels tvere excluded in the estimation. The errol at tlle location of scatterels is less than 2' as listed in Table 5.2. One simulation result may not be enough to draw a solid conclusion l¡ecause above simulatiols have been conclucted under the assumption of icleal flat-sulface. Thelefole extensions of further. sir¡ulation and fieìcl test ivitli actual <strong>SAR</strong> clata must be done to prove rvhethel the invelsion apltloaclr can tluly estimate the conplex backscatteling coefficient of the sulface of the Ealth. Nevertheless, the sirnulation r.esult demonstratecl above pr.ovides the grourcls fol the future clevelopment of the inversiol rnethod as a tool for. estilnating a surface scattering coeficient. 9B
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INVERSION OF SYNTHETIC APERTUR,E R,
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ñr^-- ltoN. J00NG suN '¿i¡r"r os
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I heleby declale that I am tlie sol
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plot of the maximum amplitude of th
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Contents Abstract Acknowledgements
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6.3.1 Introduction ..151 6.3.2 Digi
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5.1 Florv chart fot the proposecl i
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List of Tables 2,1 Seasat SAR senso
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List of Notations cr squint angle P
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tist of Abbreviatíons SAR Syntheti
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The objectives of this thesis rnay
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Ground Range l;l 2 sin0 Figure 1.2:
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ol'cler to evaluate its full aclvan
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algolithrn extlacts the complex bac
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successful as expected. Thele ale,
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eú ø1. [103]). Similal clevelopme
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aerial plìotogl'aphy ovel the area
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2.2 Spaceborne SAR Systems 1) SEASA
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tlie basis of a distinctive dlainag
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set fol selectecl aleas, useful for
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3) ERS-I The first European rernote
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Table 2.4: ERS-I Ðieterle [104]).
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Table 2.6: ERS-1 SAR pelfolmance re
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Table 2.7: JtrRS-1 olbit pararnetel
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Table 2.9: Chalactelistics of OPS o
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Table 2.11: Specifications of Racla
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Chapten 3 Review of Digital SAR Pro
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,I Figule 3.1: Raclar' L¡earn geom
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I L-=J}"no Figure 3.2: Geouretry fo
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vhich is the clistance across the a
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vlrere ø6 is a angular center fi'e
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à1 äl (a) /1T. or^l - r+ (b) I à
Page 65 and 66: a,pploxirnated by l2p sinl(I - ltl)
Page 67 and 68: -s(cu) is rewlitten as s@¡ - !"-,r
Page 69 and 70: cliscussecl later il this sectio¡r
Page 71 and 72: Ïon = _2 (V(ro) .V(¿o)+ R(ro) .A(
Page 73 and 74: : Range Walk : Range Curvatule : Ra
Page 75 and 76: olbital SAR is given by Ion = -'#{t
Page 77 and 78: is constant cluling the receiving p
Page 79 and 80: a at f¡r
Page 81 and 82: 'rvith a foulula developed il this
Page 83 and 84: Chapter 4 Theoretical Development 4
Page 85 and 86: developed and cliscussed by several
Page 87 and 88: vhere u (r,ro; u) : I U 1r,ro,t)e-i
Page 89 and 90: wheÌe k':frf a¡cl lc -_ uf us ant
Page 91 and 92: 4) there is relative motion of ante
Page 93 and 94: o =løo, 0, 0) Figure 4.1: Schemati
Page 95 and 96: elorv that sulface. In genetal, sul
Page 97 and 98: 4.4 The Inversion The equation Eq.(
Page 99 and 100: *'here % is a platfolrn velocity an
Page 101 and 102: The trq.(a.36) cannot be used dilec
Page 103 and 104: vhele Àl is a tvavenurnbel collesp
Page 105 and 106: 2-D FFT o(,b,;ø) Intelpolation in
Page 107 and 108: ¡nE 0$r-sEc, ¡3 I IrlÊ [18- 5EC
Page 109 and 110: 5.2 Digital Simulation Digital sirn
Page 111 and 112: Table 5.2: Moclel palametels fol di
Page 113 and 114: signal and the leconstructe
Page 115: (3 È. e tc o) o -tl a Slant Range
Page 119 and 120: (n t0 Ê) 0c (lr) Figure 5.6: Seasa
Page 121 and 122: 5.3 Processing of Real SAR Data A s
Page 123 and 124: squâre pixel rvith clir¡ension of
Page 125 and 126: Aziurutì (n Þ !d !D gc Figule 5.1
Page 127 and 128: (n 5 F Þ tq Figu.e 5.11: Reconst.u
Page 129 and 130: over tlìe 2.4 inches as shol¡l i'
Page 131 and 132: Ø Þ :J m (a) (b) ^a ctl _= a"r ro
Page 133 and 134: Chapter 6 SAR fmage Enhancement for
Page 135 and 136: 1) hoiv can the tlends of lineament
Page 137 and 138: 6.2 Determination of Geological Str
Page 139 and 140: Coolclinates for the image space an
Page 141 and 142: Figure 6.2: Point, lines, and hyper
Page 143 and 144: scatteter (e.g. coller leflectols,
Page 145 and 146: Figure 6.5: CCRS's airboure C-band
Page 147 and 148: C-l¡ancl SAR irnagery ovel this al
Page 149 and 150: Figure 6.8: Radon transform of ailb
Page 151 and 152: in the irnage space ancl the Iine i
Page 153 and 154: ERS- 1 N U 0 rl 0o |lO + ,¡l r.l p
Page 156 and 157: 6.2,3 Correlation Using The Radon T
Page 158 and 159: Since the inside of the squale blac
Page 160 and 161: Figule 6.12: Model test for correla
Page 162 and 163: thlough the Radon tlansfolm is shor
Page 164 and 165: Figure 6.15: Airborne C-band SAR da
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distinct points can be cliscelnerl
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Figure 6.18: Correlation output thr
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6.3 Merging of Multiple SAR Image D
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in Figure 6.19 tvhich is a clilect
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Figure 6.20: Additive irnages rvith
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Figule 6.22: Subtractive images rvi
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(1) select a clirection to be enhan
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Figure 6.24: Lnage obtained through
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6.3.4 Principal Components Analysis
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Table 6.2: Con'elation coeffrcielt
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Figure 6.27: The PCA frrst componen
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the geological surface lilearrent f
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ackscatte.i'g coefficiert can be cl
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Appendices A. Derivation of Forward
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B. Derivation of Inversion Formula
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C. Derivation using the Method of S
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F[eferences [1] Ahmed, S., \Vallen,
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[20] Curlis, J.D,, Flost, V.S., Del
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[43] Holn, R., 1988, E-SAR - The ex
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[65] Lotrelrl, O., 1990, Dopplel ce
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[87] Pye, 8.G., Nalch'ett,4.J., anc
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[111] \,Vu, C., Balkan,8., I(arplus
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