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3. CORRECTIONS
3.1 Geometric Corrections
The geometric characteristics investigated in this
calibration procedure include lens distortions (radial and
decentering), offsets of the principal point and additional
parameters which represented the effects of shear and tilt
of the CCD sensor array. Mathematical models for these
geometric characteristics are given below.
3.1.1 Radial Lens Distortion: Radial lens distortion ,ór,
is mathematically represented by a polynomial function
of the radial distance r (Fryer & Brown, 1986 and Karara,
1989) where
óre Kp pi e Kor* SK pug is (1)
where K; and K2 were the terms determined during the
bundle adjustment. Ks was considered to be
insignificant for the simple lenses used on inexpensive
video cameras and assumed to be zero. Also
r'm(x-x Yi (yy? (2)
where x and y are image coordinates and x, and y, are
offsets of the principal point. Figures 2 and 4 in Section
5 graph the results of Equation 1 produced from the
bundle adjustments.
3.1.2 Decentering Lens Distortion: The decentering
distortion equations follow the derivation in Fryer &
Brown, 1986, where
Ax 2 [Pi (r? + 2x? )+2P2xy][1 + P3 r° + .…] (3)
Ay = [Pz (r? +2y2 )+2P;xyl[1+ Ps r? +..] (4)
where Ax and Ay are the decentering distortion values in
the x and y coordinates respectively, and r is the radial
distance. A conventional representation of decentering
distortion is as a Profile function P(r) where
P(r) = r? (P12 « P2* )* (5)
It is the profile function P(r) which has been graphed in
Figures 3 and 5 later in this paper. P; and P2 may be
easily determined from the plumbline method of lens
calibration (Karara, 1989) or from a suitably rigorous
bundle adjustment, as long as the correlation with offsets
of the principal point have been duly acknowledged.
3.1.3 Offsets of the Principal Point: This
characteristic of cameras is due to the imperfect
alignment of the line of autocollimation to the centre of
the image plane. The parameters representing this
characteristic are conventionally referred to as x, and y,
and as previously mentioned, are highly correlated to the
decentering distortion parameters of P; and P2,. The
values of x, and y, for each camera, as determined by
the bundle adjustment, are shown in Table 4 in Section 5
of this paper.
139
3.1.4 Additional Parameters: The shear and tilt of
sensor are represented by additional parameter terms
from the following image coordinate correction equations
(See Fraser, 1982).
AX= AXı + AX2 (6)
Ay = Ay: * Aye (7)
where
AX; = - Xp + (- X/0) de + K1 x 7 + K x 1° + Ks xP +
Pi (3X + )+2P2xy (8)
Ay; = -yp+(-y/c)dc+ Ki yP + Ke yr «Kay?
2Pi x y+P: (X +3) (9)
AX) m X yay 4 dpx^y- da x-y* (10)
Aya = bi X * Da y * ba X y * Da x^ «bs x^ y 4
bo X y* (11)
where c is the initial value for the focal length and dc is
the required adjustment to that value and
X 2 X- Xp (12)
y? y-yo (13)
The additional parameters determined in the bundle
adjustment were a; , b; , b» and bs.
3.2 Radiometric Corrections
The radiometric characteristics of digital cameras
encompass aspects of the electronics and signal
transmission involved in acquiring and converting the
analog signal to the digital image. As these factors differ
with the different type of camera, some characteristics
are mainly found in analog video cameras with others
mainly associated with digital still cameras.
Phase patterns (as described by Ge, 1993), line jitter and
noise are radiometric characteristics associated with
analog video cameras when used in conjunction with a
frame grabber. These characteristics are all due to the
signal transmission and sampling of the signal by the
frame grabber when producing the digital image. The
effects on the image can be reduced without requiring
new or expensive equipment, by taking a series of
images and averaging them (see Hôflinger & Beyer,
1993). This approach was incorporated into the
procedure as described in Section 4 of this paper.
Another consideration for analog video cameras is to
ensure that they have been thoroughly warmed up before
images are acquired (see Beyer, 1992). The time
adopted for this procedure was 90 minutes.
Digital still cameras do not have the above problems, as
the image is converted to digital format immediately
within the camera. Image compression within digital still
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B1. Vienna 1996