Full text: Proceedings, XXth congress (Part 7)

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
interesting application in the archaeological field among the 
hyperspectral sensors. 
MIVIS sensor (Daedalus AA5000) is a scanning system, 
founder of new generation of airborne hyperspectral sensors, 
working with a high spectral and range gating. It is a modulate 
tool consisting of 4 spectrometers taking simultaneously the 
radiation reflected by ground surface in the visible (20 bands 
between 0.43 and 0.83 jum), in the near-infrared radiation (8 
bands between 1.15 and 1.55 pm), in the middle-infrared 
radiation (64 bands between 2.0 and 2.5 uum) and in the thermal 
infrared radiation (10 bands between 8.2 and 12.7 um) covering 
totally 102 bands; besides it is characterized by a 2mrad IFOV 
(Instantaneous Field Of View) and 71.1? FOV (Field Of View). 
The sensor is housed aboard a CASA 212/200 twin-engine 
plane owned by Compagnia Riprese Aeree of Parma. 
The aerial swaths over Villa del Casale and Sofiana sites were 
taken on 06/20/2002, within a photogrammetric flight plan for 
archaeological surveys (fig.1). Two swaths were taken at 
different times: the first one at about 9:30 a.m., the second at 
about 12:30 p.m., in order to be able to highlight, from the 
comparison between the relevant images, the radiometric 
variations due to the heating up of the ground. Each swath 
consists of two [light strips, North-South direction, 1500 m 
height; the images produced are characterized by 3 m geometric 
resolution and they are supplied with the only geometric 
correction due to the panoramic distortion induced by the 
Sensor. 
For the image calibration, using a spectroradiometer we could 
supply a direct survey, simultaneous to the flight, of the 
reflectance values (spectral signatures) of the different ground 
typologies in the site (fig. 2). 
  
  
Figure 2. Direct survey of the reflectance 
4. PRE-PROCESSING DATA 
In this research the first 28 bands and the last 10 bands were 
used. For the first 28 bands the physical datum measured is the 
radiant emittance [W/cm’sterad*pum] while the last ten bands 
  
  
  
Figure 3. Regional Map overlaid on MIVIS image 
supply temperature values obtained from a linear interpolation 
between the temperatures of two blackbodies kept respectively 
at the temperature of —15°C e +45°C within values above zero. 
As it’s known, images must undergo geometric and radiometric 
correction. As regards geometric correction, MIVIS images are 
affected by distortions connected to the movement of the 
aircraft and the sensor characteristics (geometric distortion 
within FOV limits). Georeference tests have highlighted the 
necessity of using a lot of Ground Control Points and of 
splitting up each scene in subscenes with a limited extension to 
which to apply top-class polynomial algorithms (Rubber 
Sheeting). Anyway, if this approach is satisfactory from a 
cartographic viewpoint, it is not satisfactory from the viewpoint 
of the following phases of the spectral analysis; in fact, the 
resampling of the image pixel during georeference process 
modifies the spectral contents. So we have decided to refer the 
12:30 image to the 9:30 one, taken as reference image, in order 
to resample only one image. Later, after executing all spectral 
analyses, the two images were georeferenced to the National 
Map System (Gauss-Boaga). In figure 3, the 1:10,000 Regional 
Map was overlaid on the georeferenced MIVIS image. 
The acquired data are always affected by radiometric errors due 
to the sensor characteristics, to the atmosphere and to the 
lighting geometry. In the thermal bands these errors are 
displayed on the image by stripes. 
The correction of these errors and the reflectance calibration are 
necessary in order to compare images obtained at different 
times, as reflectance is a physical property of the examined 
surface. 
  
> 
Riflectance 
Light object 
Dark object 
eu 
  
  
Atmosphric radiance Radiance recorded 
by sensor 
  
  
  
Figure 4. Calibration line 
493 
  
 
	        
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