Remotely sensed images are used for many purposes in today’s world. In this paper,the researchers explore the potential application of high resolution satellite images in extracting features and classifying urban settlements. The test area is Soweto, an urban area in the Greater Johannesburg Metropolitan area, in Gauteng, South Africa. The researchers propose a new settlement typology for efficient classification of formal and informal settlements via QuickBird satellite images
Reference:
Busgeeth, K. 2008. Potential application of remote sensing in monitoring informal settlements in South Africa where complimentary data does not exist. Geoinformatics 2008 and Joint Conference on GIS and Built Environment, Guangzhou, China, 28–29 June 2008. pp 1-10
Busgeeth, K., Van den Bergh, F., Whisken, J., & Brits, A. (2008). Potential application of remote sensing in monitoring informal settlements in South Africa where complimentary data does not exist. Proceedings of SPIE. http://hdl.handle.net/10204/3315
Busgeeth, K, F Van den Bergh, J Whisken, and A Brits. "Potential application of remote sensing in monitoring informal settlements in South Africa where complimentary data does not exist." (2008): http://hdl.handle.net/10204/3315
Busgeeth K, Van den Bergh F, Whisken J, Brits A, Potential application of remote sensing in monitoring informal settlements in South Africa where complimentary data does not exist; Proceedings of SPIE; 2008. http://hdl.handle.net/10204/3315 .
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, edited by Lin Liu, Xia Li, Kai Liu, Xinchang Zhang, Proc. of SPIE Vol. 7147, 71470B
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