One Landsat5 TM image of 1993/6/15 and one Landsat7 ETM+ image of 2001/5/12 about Tianjin whose path/row are
both122/33 have been used for this study. An integrated RS and GIS approach is presented for change detection. Based
on summarizing the methods of change detection and analyzing the disadvantages of traditional approaches, multivariate
alteration detection based on the canonical correlation analysis is introduced. Firstly, canonical transform is adopted for
the preprocessed images. Then, the sixth component containing the maximal change message is processed and the
change message is extractd. Moreover, the binary image is vectorized and the vectorized maps are overlapped with the
original images separately. So the change about two time phases is compared. Subsequently, the database is established
based on the basic space data such as road maps and maps showing present condition of land utilization and urban
planning maps as well as humane and socio-economic data. The results rooting in the image change detection are entered
into GIS by vectorization and spatial overlay analyzed with already existent data. Finally, the urban built-up area is
extracted and the validated precision is high. The urban expansion areas and dynamic change characteristic and reasons
in Tianjin from 1993 to 2001 have been revealed and discussed. Comparing with the Tianjin city master planning
(1996-2010), it shows that urban expansion change is coincident with urban planning implementation.
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