340
ı urban
extent
as pose
10lding
y other
in the
mented
lineate
atically
regions
olding
"tween
e and
terrain
urface
12001,
nodels
ogram
of the
rs, sun
red to
1as not
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
3. PRESENT APPROACH
The present work utilized the mean-shift analysis
(Fukunaka and Hosteler, 1975; Cheng, 1995; Comanicu
and Meer, 2002) filtering and segmentation for shadow
region extraction from high-resolution air-photos. The
lowest mean lightness parameter added to the segmented
image finally will automatically extract the shadow
regions. Since shadow regions are the darkest regions,
applying the lowest mean lightness value to threshold the
segmented image will extract shadow regions.
Panchromatic (PAN-grey level) was used as input. ADS
40 NIR image covering a part of northern part of Tokyo
(figure 1) was tested and significant results obtained.
DN AN U
The lowest lightness value can be attributed to the darkest
shadow regions (especially in NIR images), and shadow
regions will be extracted by using Boolean operation. By
image arithmetic operator, the extracted shadow regions
were eliminated from the original image and texture of the
shadow regions was separated. The texture information
under shadow regions was enhanced by using the adaptive
contrast enhancement (ACE) techniques suggested by
Stark (2000).
4. EXPERIMENTAL RESULTS
The filtered and segmented ADS40 image is shown in figure 2.
All the obtained segmented images were thresholded by using
the mean lightness thresholding that separated shadow regions
and non-shadow regions (figure 3). From the figure 3, it was
809
observed that all the dark pixels are not shadow regions as some
of them represent water bodies (A in figure 3), dark coloured
roofs (B in figure 3), newly paved tar roads and similar objects.
Figure 4 shows the texture information in the shadow regions.
The adaptive contrast enhancement helped to enhance the
shadow regions and finally an integration of the shadow texture
regions with the shadow-removed image resulted in a
shadow-free image (figure 4).
Figure 3. Extracted Shadow regions and false positive
regions (circled areas A- water bodies; B-dark coloured
roofs)
Figure 4. Texture information under shadow regions