%PDF-1.4
%
1 0 obj
<>stream
application/pdfIEEEIEEE Geoscience and Remote Sensing Letters;2018;15;2;10.1109/LGRS.2017.2779559Airborne laser scannerdata setdigital aerial imagespoint cloudsDevelopment and Assessment of a Data Set Containing Frame Images and Dense Airborne Laser Scanning Point CloudsAntonio Maria Garcia TommaselliMauricio GaloThiago Tiedtke dos ReisRoberto da Silva RuyMarcus Vinicius Antunes de MoraesWander Vieira Matricardi
IEEE Geoscience and Remote Sensing Letters192 Feb. 201821510.1109/LGRS.2017.2779559196
endstream
endobj
2 0 obj
<>
endobj
3 0 obj
<>stream
xcd`ab`ddu pu
(a!CG߯$X,n!fFF6[TʢdMCKK#] aPY_Zb%(DE(x%ArL.,,?dvg.q*Hue߃X]پ.] d.^}Ѧ?3.^Ghߤމ/l,h-}N+_W;xόE5fi;⫘#uޜ ߵN].}y8r垿g|^
endstream
endobj
4 0 obj
<>
endobj
5 0 obj
<>stream
application/postscript
Print
2017-12-05T09:33:42+05:30
2017-12-05T09:33:42+05:30
2017-12-05T09:33:42+05:30
Adobe Illustrator CS5.1
256
168
JPEG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xmp.iid:979ADDE26ED9E71188368C8915651ED1
xmp.did:979ADDE26ED9E71188368C8915651ED1
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
uuid:ae9148ef-3000-a144-9ee3-ddb3557e196e
xmp.did:8AF5709C0E20681188C6A12CE4B46A4D
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
saved
xmp.iid:979ADDE26ED9E71188368C8915651ED1
2017-12-05T09:33:42+05:30
Adobe Illustrator CS5.1
/
Print
False
False
1
51.000000
66.000000
Picas
Cyan
Magenta
Yellow
Black
Default Swatch Group
0
White
RGB
PROCESS
255
255
255
Black
RGB
PROCESS
35
31
32
CMYK Red
RGB
PROCESS
237
28
36
CMYK Yellow
RGB
PROCESS
255
242
0
CMYK Green
RGB
PROCESS
0
166
81
CMYK Cyan
RGB
PROCESS
0
174
239
CMYK Blue
RGB
PROCESS
46
49
146
CMYK Magenta
RGB
PROCESS
236
0
140
C=15 M=100 Y=90 K=10
RGB
PROCESS
190
30
45
C=0 M=90 Y=85 K=0
RGB
PROCESS
239
65
54
C=0 M=80 Y=95 K=0
RGB
PROCESS
241
90
41
C=0 M=50 Y=100 K=0
RGB
PROCESS
247
148
30
C=0 M=35 Y=85 K=0
RGB
PROCESS
251
176
64
C=5 M=0 Y=90 K=0
RGB
PROCESS
249
237
50
C=20 M=0 Y=100 K=0
RGB
PROCESS
215
223
35
C=50 M=0 Y=100 K=0
RGB
PROCESS
141
198
63
C=75 M=0 Y=100 K=0
RGB
PROCESS
57
181
74
C=85 M=10 Y=100 K=10
RGB
PROCESS
0
148
68
C=90 M=30 Y=95 K=30
RGB
PROCESS
0
104
56
C=75 M=0 Y=75 K=0
RGB
PROCESS
43
182
115
C=80 M=10 Y=45 K=0
RGB
PROCESS
0
167
157
C=70 M=15 Y=0 K=0
RGB
PROCESS
39
170
225
C=85 M=50 Y=0 K=0
RGB
PROCESS
28
117
188
C=100 M=95 Y=5 K=0
RGB
PROCESS
43
57
144
C=100 M=100 Y=25 K=25
RGB
PROCESS
38
34
98
C=75 M=100 Y=0 K=0
RGB
PROCESS
102
45
145
C=50 M=100 Y=0 K=0
RGB
PROCESS
146
39
143
C=35 M=100 Y=35 K=10
RGB
PROCESS
158
31
99
C=10 M=100 Y=50 K=0
RGB
PROCESS
218
28
92
C=0 M=95 Y=20 K=0
RGB
PROCESS
238
42
123
C=25 M=25 Y=40 K=0
RGB
PROCESS
194
181
155
C=40 M=45 Y=50 K=5
RGB
PROCESS
155
133
121
C=50 M=50 Y=60 K=25
RGB
PROCESS
114
102
88
C=55 M=60 Y=65 K=40
RGB
PROCESS
89
74
66
C=25 M=40 Y=65 K=0
RGB
PROCESS
196
154
108
C=30 M=50 Y=75 K=10
RGB
PROCESS
169
124
80
C=35 M=60 Y=80 K=25
RGB
PROCESS
139
94
60
C=40 M=65 Y=90 K=35
RGB
PROCESS
117
76
41
C=40 M=70 Y=100 K=50
RGB
PROCESS
96
57
19
C=50 M=70 Y=80 K=70
RGB
PROCESS
60
36
21
Grays
1
C=0 M=0 Y=0 K=100
RGB
PROCESS
35
31
32
C=0 M=0 Y=0 K=90
RGB
PROCESS
65
64
66
C=0 M=0 Y=0 K=80
RGB
PROCESS
88
89
91
C=0 M=0 Y=0 K=70
RGB
PROCESS
109
110
113
C=0 M=0 Y=0 K=60
RGB
PROCESS
128
130
133
C=0 M=0 Y=0 K=50
RGB
PROCESS
147
149
152
C=0 M=0 Y=0 K=40
RGB
PROCESS
167
169
172
C=0 M=0 Y=0 K=30
RGB
PROCESS
188
190
192
C=0 M=0 Y=0 K=20
RGB
PROCESS
209
211
212
C=0 M=0 Y=0 K=10
RGB
PROCESS
230
231
232
C=0 M=0 Y=0 K=5
RGB
PROCESS
241
242
242
Brights
1
C=0 M=100 Y=100 K=0
RGB
PROCESS
237
28
36
C=0 M=75 Y=100 K=0
RGB
PROCESS
242
101
34
C=0 M=10 Y=95 K=0
RGB
PROCESS
255
222
23
C=85 M=10 Y=100 K=0
RGB
PROCESS
0
161
75
C=100 M=90 Y=0 K=0
RGB
PROCESS
33
64
154
C=60 M=90 Y=0 K=0
RGB
PROCESS
127
63
152
Adobe PDF library 9.90
endstream
endobj
6 0 obj
<>
endobj
7 0 obj
<>
endobj
8 0 obj
<>
endobj
9 0 obj
<>stream
hޜWiT8JYM$FEFEqB"N -Cc7<5T7cw6"2ĉ$zcfЫDܷO;]﮻ޏVw^9{gT2rD*ڭq_z^ʰ ,WUhRaHa{оX*q1IFHժ82xsN,^8S]%d*P73NqZRGAV:y4NA u4~:IqwTCT6)UqA>»VsR;)fM^2PVif$RHI$FHhA""LJfK$$wGH\%IDrM"鑌$;$GҥR~툂lln\9G\OL$"nrG^-6vbQ;F轣-c1 cn46wCܸ-n4f Z<7Ja
~!}Ȯs6OpC
lq!_Qr8%=U,$ri,w=}'} _V0 5|m`ԍlLfr>wx8>v{k,:F'L` |hND7͌8nF9:'\'Q>%--ťv~f] ճa4)Q$A
XJM@3Xe@h\f4Ma\P|
BcZVqR^
o6FZA0
iaRr."q