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EuroSDR Projects - Host Ireland

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Detection of buildings was not a big problem in SAR and the optical imagery, due to the large size of<br />

industrial buildings. Regarding the classification of parking areas, one can say that the big ones were<br />

detected and classified in optical and even in SAR images. The smaller ones lead to more problems in<br />

SAR imagery. The same is essentially true for bridges and land use boundaries. Table 8 shows an<br />

overview of qualitative comparison.<br />

Main Road<br />

Roads<br />

Alleys<br />

Built-Up<br />

Areas<br />

Parking<br />

Runway<br />

Railway<br />

208<br />

SAR image<br />

detected<br />

predominantly detected<br />

few to none<br />

well detected but no distinction of<br />

industrial or urban areas, separate big<br />

houses were detected well<br />

big parking areas could be detected<br />

detected<br />

partially detected<br />

5.3.3 Summary – Oberpfaffenhofen<br />

land use boundary, bridges<br />

Optical image<br />

detected<br />

detected<br />

predominantly detected<br />

well detected but no distinction of industrial or<br />

urban areas, separate houses were detected<br />

well, even small ones<br />

mostly all parking areas were detected<br />

detected<br />

all interpreters detected the railways well<br />

Table 8: Qualitative Comparison of Oberpfaffenhofen<br />

Although the resolution of sensor data is a bit higher compared to the test sites of Copenhagen and<br />

Fjärdhundra (3 m instead of 4 m), there are no significant discrepancies between interpretations of<br />

these test sites. Accuracy and quality of interpreting forest, agricultural and built-up areas as well as<br />

linear objects show results similar to those in Copenhagen and Fjärdhundra.<br />

Regarding the special areas of this test site, it was surprising that nearly all participants detected and<br />

classified the excavation area correctly. More problems occurred in the interpretation of the airport<br />

area. Special regions on this site could be detected, but were not classified well. These problems,<br />

however, were equal in SAR and optical imagery. Thus, it appears that industrial areas with very<br />

special land uses and objects are almost impossible to interpret correctly.<br />

5.4 Test Site Trudering<br />

5.4.1 Areal and Linear Objects<br />

The data set of the Trudering test site mainly contains rural and industrial areas and has a resolution of<br />

1.5 m per pixel, which is the highest resolution among the test imagery. The images have a size of<br />

2813 x 2289 pixels. The evaluation of the optical image was carried out by four participants and the<br />

evaluation of the SAR image by seven participants.<br />

This test site predominantly consists of agricultural and built-up areas. The forest areas are small parts<br />

with few trees and only cover one percent of the image area. A small lake is located in the north west<br />

of the images, which appears different in SAR and optical images due to the exposure date of the<br />

images. Therefore, two different reference maps were created for this small area. Two other small<br />

parts of the images have different content so they were covered with a small mask to avoid discrepan-

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