Title :
High resolution urban feature extraction for global population mapping using high performance computing
Author :
Vijayaraj, V. ; Bright, E.A. ; Bhaduri, B.L.
Author_Institution :
Oak Ridge Nat. Lab., Oak Ridge
Abstract :
The advent of high spatial resolution satellite imagery like Quick Bird (0.6 meter) and IKONOS (1 meter) has provided a new data source for high resolution urban land cover mapping. Extracting accurate urban regions from high resolution images has many applications and is essential to the population mapping efforts of Oak Ridge National Laboratory´s (ORNL) LandScan population distribution program. This paper discusses an automated parallel algorithm that has been implemented on a high performance computing environment to extract urban regions from high resolution images using texture and spectral features.
Keywords :
Gabor filters; demography; feature extraction; geography; image texture; parallel processing; remote sensing; IKONOS satellite; LandScan population distribution program; Oak Ridge National Laboratory; Quick Bird; automated parallel algorithm; global population mapping; high performance computing; high resolution urban feature extraction; high spatial resolution satellite imagery; land cover mapping; Data mining; Feature extraction; Gabor filters; High performance computing; Humans; Image resolution; Laboratories; Robustness; Satellites; Spatial resolution; gabor filters; texture; urban mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4422784
