Full text: New perspectives to save cultural heritage

CIP A 2003 XIX th International Symposium, 30 September - 04 October, 2003, Antalya, Turkey 
figure 2- 1:10000 Vector map overlaid onto the orthoprojected image 
4. SIGNIFICANT BANDS SELECTION 
The second step was to select the most useful bands for the 
detection of archaeological features and anomalies. These can 
be identified by the texture, soil moisture and vegetation cover 
differences that are produced by buried structures. 
The peculiarity of the investigated objects led us to select bands 
renouncing to the principal components analysis; we proceeded 
with a visual interpretation taking care of the bibliographic 
references. A total of 10 of the 102 available bands of the 
MIVIS sensor were chosen: 
a) 4 in the visible range (b2= 0.4600 pm, b7=0.5600 pm, 
bl 1= 0.6400 pm, b20= 0.8200 pm) for the contextual 
location; 
b) 2 in the near infrared range (b23= 1.2750 pm, b28= 
1.5250 pm), for vegetation cover anomalies; 
c) 1 in the medium infrared range (b52= 2.1790 pm) for 
soil moisture; 
d) 3 in the thermal infrared range (b93= 8.3859 pm, 
b97= 10.0200 pm, b 101 = 11.9450 pm) for termal 
variation on the ground. 
No calibration have been made as no calibration file was 
available for the test image. That has not be considered 
fundamental because relative, and not absolute, differences 
between objects had to be investigated. 
5. TEST AREAS SELECTION AND IMAGE MASKING 
Queries and spatial analysis performed on the data collected in 
the Marchesato di Saluzzo GIS permitted to choose 2 test areas 
responding to the appropriate archaeological needs: 
5.1 The Sant’Ilario monastery. 
This monastery is near the town of Revello, close to the Po 
valley mouth. The documentary sources refer to three villages 
in the second half of the XII Century. Today there is no sign of 
these settlements which in the documents were known as 
Sant’Ilario, Viverio e Paralupo. The XII Century documents 
also refear to a road called “via publica” which was situated 
near the monastery. 
5.2 The San Massimo church. 
The site of this church was between the Revello and Envie 
towns. Thanks to a document of the half of the XIII century, we 
know there was a very important road called “v/a monnea 
superius” which was near San Massimo church. The name of 
this road seems to suggest a paved road. This road was part of a 
longer, probably Roman route, which joined the town of 
Saluzzo with the town of Bricherasio. 
We built and applied an opportune mask to bound these two 
areas. A mask is a binary image that consists of values of 0 and 
l.When a mask is used in a processing function, the areas which 
have values of 1 are processed and the masked 0 areas are not 
included in the calculations. This procedure has permitted us to 
limit the investigation and the radiometric bothers. 
6. IMAGE CLASSIFICATION AND VALIDATION 
Nine regions of interest (ROI) were selected inside the sample 
areas: buildings, industrial buildings, water, streets, soil 
moisture, orchards, vegetated fields, non-vegetated fields, 
shadow zones. 
A spectral angle mapper classification with an angle threshold 
of 0.10 (radians) was applied. For the validation of the 
classification of the eight classes the correspondent confusion 
matrix was calculated(table 3). It shows a correct classification 
of ROIs, although in the next future a certification on the 
ground could be necessary. 
class 
unclassified 
Industrial 
buildings 
orchards 
Streets 
buildings 
Non- 
vegetated 
field 
water 
Vegetated 
fields 
Shadow 
zone 
Soil 
moisture 
Total 
unclassified 
227651 
0 
0 
0 
0 
0 
0 
0 
0 
0 
227651 
industrial buildings 
0 
846 
0 
0 
0 
0 
0 
0 
0 
0 
846 
orchards 
0 
0 
31544 
0 
0 
0 
0 
0 
0 
0 
31544 
streets 
0 
0 
0 
13219 
0 
0 
0 
0 
0 
0 
13219 
buildings 
0 
0 
0 
0 
1191 
0 
0 
0 
0 
0 
1191 
non-vegetated field 
0 
0 
rö 
0 
0 
9356 
0 
0 
0 
0 
9356 
water 
0 
0 
0 
0 
0 
0 
307 
0 
0 
0 
307 
Vegetated fields 
0 
0 
0 
0 
0 
0 
0 
19414 
0 
0 
19414 
Shadow zone 
0 
1) 
0 
U 
0 
0 
0 
0 
1052 
0 
1052 
Soil moisture 
0 
1) 
0 
0 
0 
0 
0 
0 
0 
35870 
35870 
Total 
227651 
846 
31544 
13219 
1191 
9356 
307 
19414 
1052 
35870 
340450 
Tab. 3- Confusion matrix of the nine selected class
	        
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