Automated Urban Delineation from Landsat Imagery Based on Spatial Information Processing

作者:Guindon Bert*; Zhang Ying
来源:Photogrammetric Engineering and Remote Sensing, 2009, 75(7): 845-858.
DOI:10.14358/pers.75.7.845

摘要

Methodologies are developed and assessed for the delineation of urban areas on moderate resolution satellite images based on line feature extraction and processing. It is argued that a simple two component urban/rural road network model and a preliminary estimate of the extent of urban cover in a satellite scene an be used to quantify processing settings, such as line thresholds. As a result, urban delineation can be fully automated. Tests have been conducted with Landsat Thematic Mapper data of a candidate set of cities that exemplify the spectrum of North American urban landscapes. Producer accuracies in the range 60 to 80 percent ore consistently for a variety of urban landscapes. While these performance levels ore lower than those previously reported for small area, city-specific studies, they are comparable to those previously achieved in large-area, approaches (e.g., the National Land Cover Dataset initiative) that rely primarily on spectral attributes. It. is concluded that better integrated use of spectral-spatial data processing hove the potential to lead to improved operational urban mapping accuracies.

  • 出版日期2009-7