Abstract
With the development of the high-resolution remote sensing technology, dynamic monitoring of urban built-up land use high-resolution remote sensing technology already become an important content of urban remote sensing. In this paper we select SPOT5 in 2003 and QuickBird in 2007 as data sources which covers research area, the urban built-up land information has been extracted through SAVI, PRWI and textural features, and analysis the extraction results. The results of this research show that the extraction method based on SAVI, PRWI, textural features could automatic (semi-automatic) extract urban built-up land effectively, and has the characteristics of simplicity, convenience and efficiency.
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References
Jun, L., Shixin, W., Xiaolei, Z.: Temporal-spatial characteristics of the urbanization of rural land in Xinjiang. Chinese journal of population, resources and environment 4, 37–44 (2006)
Hui, X., Shaogang, N.: Methodology of retrieving residential area from remotely sensed image. Research of soil and water conservation 13, 319–321 (2006)
Borghys, D., Perneel, C., Acheroy, M.: Automatic detection of built-up Parcas in high resolution polar metric SAR images. Pattern Recognition Letters 23, 1085–1093 (2002)
Ponana, V., Prudant, J., Kana’a, T.F.N., Dzana, J.G., Asse, N.: Multitemporal urban dynamics with multitemporal ENVISAT/ERS SAR images and multispectral HRV SPOT optical image using data fusion approach. In: Proc. Of the 2004 Envisat and ERS Symposium, Salzburg, Austria (2004)
Hhanqiu, X.: Remote sensing information extraction of urban built-up land based on a data-dimension compression technique. Journal of image and graphics 10, 223–229 (2005)
Deyi, L., Dapeng, W., Anding, Z., et al.: Research progress of residential area information automatic extraction methods based on remote sensing image. Yunnan geographic environment research 18, 48–51 (2006)
LO, C.P.: Land Use Mapping of Hong Kong Landsat Images: An evaluation. International Journal of Remote Sensing 2, 231–252 (1981)
Gao, J., Skillcorn, D.: Capability of SPOT XS data in producing detailed land cover maps at the urban- rural periphery. International Journal of Remote Sensing 19, 2877–2891 (1998)
Chengfan, L.: Changes of urban land-use by remote sensing monitoring. Southwest University master’s degree paper (2009)
Rutian, B., Zhongke, B.: Land characteristic information and classification in opencast coal mine based on remote sensing images. Transactions of the CSAE 23, 77–81 (2007)
Huanjun, L., Bai, Z., Zongming, W., et al.: Soil saline-alkalization evaluation basing on spectral reflectance characteristics. J. Infrared Millim. Waves 27, 138–142 (2008)
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Li, C., Yin, J., Zhao, J., Liu, L. (2011). Extraction of Urban Built-Up Land in Remote Sensing Images Based on Multi-sensor Data Fusion Algorithms. In: Chen, R. (eds) Intelligent Computing and Information Science. ICICIS 2011. Communications in Computer and Information Science, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18129-0_39
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DOI: https://doi.org/10.1007/978-3-642-18129-0_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18128-3
Online ISBN: 978-3-642-18129-0
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