DocumentCode :
2746705
Title :
A multi-data sources method for the validation of old image classification in order to measure the scattered urbanisation process
Author :
Maille, E.
fYear :
2003
fDate :
22-23 May 2003
Firstpage :
152
Lastpage :
156
Abstract :
This article proposed a mapping and validation method of old low resolution satellite images, based on the use of existing GI covers at different scales for different periods. This method can be described as a multi data sources method for the validation of old image classification in order to measure the scattered urbanisation process as it uses three kinds of data: satellite images, GI vectorial covers, and digitised paper maps. The hypothesis is that the satellite image allows to map the exact borders of homogeneous patches, while small scale vector GI cover provides the exact content. That is why satellite images are used to increase the precision of the GI cover. However, the content of homogeneous patches detected on the images is not totally unknown, as absolute radiometric values and visual texture analysis on coloured band combination gives some information.
Keywords :
image classification; image colour analysis; image resolution; image texture; signal detection; terrain mapping; GI vectorial covers; absolute radiometric values; coloured band combination; digitised paper maps; homogeneous patches borders; image detection; low resolution satellite images; multidata sources method; old image classification validation; scattered urbanisation process; visual texture analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing and Data Fusion over Urban Areas, 2003. 2nd GRSS/ISPRS Joint Workshop on
Conference_Location :
Berlin, Germany
Print_ISBN :
0-7803-7719-2
Type :
conf
DOI :
10.1109/DFUA.2003.1219977
Filename :
5731019
Link To Document :
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