29 December 2008 Urban change detection of integrating remote sensing and GIS: taking Tianjin City for example
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Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72855F (2008); doi: 10.1117/12.815602
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
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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Dan He, Jianming Cai, Jing Zhou, Zhihua Wang, "Urban change detection of integrating remote sensing and GIS: taking Tianjin City for example", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72855F (29 December 2008); doi: 10.1117/12.815602; https://doi.org/10.1117/12.815602
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KEYWORDS
Geographic information systems

Earth observing sensors

Landsat

Computer programming

Remote sensing

Canonical correlation analysis

Roads

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