eCognition Understanding Images
Mapping Urban Areas in the Santa Barbara South Coast using Ikonos Data and Definiens eCognition
New data resources from high spatial resolution satellite sensors like Ikonos or Quickbird, and innovative concepts in image analysis have the potential for improving mapping and analysis of urban land use structures and related dynamics. Considering the high amount of spatial detail in those types of data and the land cover heterogeneity of urban areas it is more difficult to apply traditional digital image analysis algorithms to derive thematic information. The object-oriented image analysis approach provides a new and innovative avenue in the analysis of high spatial resolution (2.5 m – 4 m) sensors that represent urban land cover objects such as houses, roads and vegetation patches in a number of adjacent pixels. However, the geometry of the targets (e.g. three dimensional roof structures and topography) and the heterogeneity of the objects themselves (e.g. roads with cracks or fillings) result in distinct spectral variation within these areas of homogenous land cover (image objects).
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| Definiens_urban_areas_santa_barbara_ikonos_definiens_ecognition.pdf | 339.24 KB |