Claudia M. Almeida
Iris M. Souza
ABSTRACT
This paper is committed to explore object-oriented methods for the classification of Quickbird images, aiming to support future urban population estimates. The study area concerns the southern sector of São José dos Campos city, located in the State of São Paulo, Brazil. By means of a multi-resolution segmentation approach and a six-layer hierarchical classification network, homogeneous residential areas were identified in terms of density of occupation and building standards (single dwelling units or high-rise buildings). The classification network was built upon spectral, geometrical and topological features of the objects in each level of segmentation as well as upon their contextual and semantic interrelationships in-between the hierarchical levels. The final classification of homogeneous residential units was subject to validation, using an object-based Kappa statistics.
- Langford, M. and Unwinn, D. J. Generating and mapping population density surfaces with a geographical information system. The Cartographic Journal, 31 (1994), 21--26.Google Scholar
Cross Ref
- Webster, C. J. Population and dwelling unit estimates from space. TWPR, 18, 2 (1996), 155--176.Google Scholar
- Sutton, P., Roberts, D., Elvidge, C., and Meij, H. A comparison of nighttime satellite imagery and population density for the continental United States. Photogrammetric Engineering & Remote Sensing, 63, 11 (1997), 1303--1313.Google Scholar
- Lo, C. P. Modeling the population of China using DMSP Operational Linescan System nighttime data. Photogrammetric Engineering & Remote Sensing, 67, 9 (2001), 1037--1047.Google Scholar
- Harvey, J. T. Population estimation models based on individual TM pixels. Photogrammetric Engineering & Remote Sensing, 68, 11 (2002), 1181--1192.Google Scholar
- Liu, X., Clarke, K., and Herold, M. Population density and image texture: a comparison study. Photogrammetric Engineering & Remote Sensing, 72, 2 (2006), 187--196.Google Scholar
- PMSJC - Prefeitura Municipal de São José dos Campos. 2003. Cidade Viva. {CD-ROM}, São José dos Campos: PMSJC, 2003.Google Scholar
- Pinho, C. M. D. Análise orientada a objetos de imagens de alta resolução espacial. São José dos Campos. 2005. Master's Thesis - National Institute for Space Research.Google Scholar
- Definiens. 2003. eCognition: User Guide 3. 480 p. Available at: <http://www.definiens-imaging.com/down/ecognition>. Access on: 15. Oct., 2005.Google Scholar
- Landis, J. R. and Koch, G. G. The measurement of observer agreement for categorical data. Biometrics, 33, 1 (1977), 159--174.Google ScholarCross Ref
Index Terms
- Multilevel object-oriented classification of quickbird images for urban population estimates
Recommendations
The Study of the Typical Rural Settlements in Chengdu Plain Using QUICKBIRD Images
CDCIEM '11: Proceedings of the 2011 International Conference on Computer Distributed Control and Intelligent Environmental MonitoringThe study of the distribution and inner structure characteristic of the rural settlement has the extremely vital practical significance to the socialist new rural reconstruction. The high resolution remote sensing has provided the advanced technical ...
Dynamic Monitoring of Urban Built-up Area Changes Based on Landsat Images
ICIGP '20: Proceedings of the 2020 3rd International Conference on Image and Graphics ProcessingIn this paper, the dynamic urban built-up changes of Yinchuan city based on Landsat 5 in 2001, 2007, 2011 and Landsat 8 images in 2015 is described. Information such as urban built-up area and the situation of surface cover are analyzed. The results ...
Subpixel land-cover classification for improved urban area estimates using Landsat
Urban areas are Earth’s fastest growing land use that impact hydrological and ecological systems and the surface energy balance. The identification and extraction of accurate spatial information relating to urban areas is essential for future ...
Comments