iltitemporal air-
due to random
id position of
the flight
:ort the resul-
e further multi-
iffects influence
enna; e.g. the
ipression
is dependent
National Aero-
oration with
iry TNO, the
he Survey
to implement a
he central
icquired data
rcraft motion
■ recorded INS
craft (INS =
iry acquired
rial
is enabling
data via an
’ARES-procedure
i corrections,
may now be
irther complica-
on [Ref. 2, 3].
;e is a distur-
id classifi-
.cation algo-
extraction pro
in a pixel-by-
-field basis,
i have devised
ild averaging.
ien tried but The
ir the "split-
ivlidis-concept
lage processing
iace Laboratory
irocess (in
;es with a number
linimum field
r erages where
aced by a field-
information,
ds which contain
r to contaminate
. objects like
ilso corrupt the
;ing the final
leratively
id classifier may
isifier allows
data space into
.1 be obvious
time-consuming
te preceeding
already greatly
e pixel values,
t is possible,
int the angular
.tural crops to
in result. One
irocess suffi-
ilar dependence
Table 1. Specifications SLAR data acquisition and
registration chain.
Antenna 2,5 m slotted wave guide
Polarisation HH
Pattern azimuth 16 mrad
Elevation: cosec 2 -pattern (Ref. 2, 3)
Transceiver Modified DECCA 65160
Frequency 9,4 GHz (X-band)
Transmitted power 25 kW
Pulse length 50 (250)ns
PRF 100 Hz (200 Hz)
DC coupled IF amplifier and
detection circuit
type ICLT 6020 from RHG
Output: GO-2 V
23.7 mV/dB
Dynamic range 80 dB
SLARDIG Presample filter 3rd order 5MHz,(none)
(SPEEDIG) Sample rate 20 MHz , (50 MHz)
Start sampling jitter 0-5 ns, (same)
2048 samples = 15 km range,(4096;12 km)
8 bits/sample , (same)
Input 0,01 ± 0,004 V; output 0, (same)
Input 2,000 ± 0,004 V: (same)
7,8 mV/bit , (same)
Aircraft
data for PARES the data of the Inertial
Sensor System (ISS)
Litton LTN58 are important:
True Heading TH
North South Velocity VNS
East West Velocity VEW Digital outputs
Latitude LAT
Longitude LON
Angle of roll AR1IS Synchro outputs
Angle of pitch AP1IS Digitized by RMDU
Accuracy:angles better than 0.1°
velocity better than 1 m/s
position better than 2 mile/hr
TABLE 2. Classification-matric of Flevo-area (1984)
58
POTATOES
58
(100%)
58
SUGAR-
BEETS
1
54
(93%)
3
92
WINTER-
WHEAT
3
-
89
(97%)
35
ONIONS
14
4
2
9
(25%)
6
9
BEANS
2
1
-
6
(66%)
OTHER
9
3
8
7 DATA INTERPRETATION AND ANALYSIS
A matrix of classification results compared to the
ground truth map of the Flevo-test site from the
1984 campaign is shown in [Table 2].
It is evident from this table that the small
Fig. 1 The NLR Metro II Laboratory aircraft with
SLAR antenna
Fig. 2 Backscatter coefficient vs. time for three
major crops
APR
1980
° SUGARBEETS A POTATOES
HH
30
HH
30
+ S.WHEAT
HH
30
x OATS
HH
30
<> B.SOIL2
HH
30
Fig. 3 Backscatter coefficient vs. time
