Full text: Resource and environmental monitoring (A)

  
    
   
  
   
   
   
    
    
   
     
    
   
    
    
   
  
  
  
  
  
  
  
  
    
IAPRS & SIS, Vol.34, Part 7, *Resource and Environmental Monitoring", Hyderabad, India,2002 
  
both the needs of the photogrammetric as well as of the remote 
sensing users. This encourages us to speak about a 
“photogrammetric remote sensing" concept. 
2.2 Coloration of High-Resolution Pan-chromatic Pixels 
Of interest to us is the manner in which color is being assigned 
to each high-resolution pixel. Traditionally this was not an 
important topic since multi-spectral scanning provided each 
pixel with multiple color values. However, with color being 
scanned at one geometric resolution and by one sensor, and the 
panchromatic information being collected at a higher geometric 
resolution and with a separate sensor, the issue emerges of how 
to "color" the black-and-white panchromatic pixels. A standard 
"coloration" scheme has emerged in which the panchromatic 
pixels represent the high geometric information and thus the 
"intensity" band in a color space, whereas the color pixels 
represent the hue and saturation or similar such bands. More 
generally, coloration can be accomplished in various ways as 
discussed below. 
2.3 Sensing Color 
2.4.1 Three CCDs 
Each of three CCDs has its own color filter for red-green-blue 
(RGB), and each CCD images with a different perspective (see 
Figure 1). 
   
Figure 1: Three images are being produced, one by each of the 3 CCDs, 
and represent the RGB-channels. These images must be co-registered. 
The problem with this approach is the need to overcome the 
mis-registration between the RGB-channels. Registration 
typically is being accomplished via matches of the R-G and G- 
B-channels. 
2.3.2 CCD with Color Beam Splitter. 
Figure 2 illustrates the use of a beam splitter to produce 3 
images with the same geometry. The issue is the reduced 
amount of light arriving at the sensor. 
2.3.3 Single CCD with Spinning Wheel Disk Filter 
Figure 3 suggests the spinning wheel to obtain color in 3 
separate images, taken sequentially. This limits the geometric 
quality since the images are taken with separate exterior 
orientations during flight. 
2.3.4 Bayer Pattern CCD for Color Information 
As proposed by Bayer (1976), a single area array CCD is being 
used with a filter in front of every CCD-element. Figure 4 
  
  
  
Figure 2: Beam splitter to obtain color in one simultaneous step (from 
www.howstuff works.com). There exists a single geometry. 
Registration matching is not needed. 
  
Figure 3: The so-called "spinning wheel" to sequentially create red, 
green and blue component images, taken at slightly different times, 
since the filters must be rotated into place in front of the lens.(from 
www.howstuffworks.com). 
  
  
  
  
  
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Figure 4: The Bayer pattern is obtained by placing red, green and blue 
filters over each element of a CCD as shown. Green is being favored 
over red and blue. 
  
Figure 5: A simulated illustration of a Bayer pattern image. Left is a 
conventional color image with 81 x 81 pixels. To the right is the 
computed Bayer pattern image with alternating r, g and b pixels in the 
pattern shown in Figure 4. That is the raw output of the color CCD. 
Reconstruction of the final color image is called demosaicking. 
illustrates the basic concept and shows that green has twice the 
number of red- and blue-pixels. Figure 5 is a simulation on 81 x 
81 pixels of a color image using this basic idea. At issue is the 
creation of the color image from the sensed pattern. This is 
denoted as “demosaicking” (Adams, 1995, 1997). 
    
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