Extraction of urban impervious surface from hyperspectral remote sensing image

Taking Xuzhou city as the case study area, EO-1 Hyperion hyperspectral remote sensing image captured in 2004 was chosen as the data source to extract impervious surface area (ISA) by spectral mixture analysis using LSMM model. In order to demonstrate the advantages of hyperspectral images and LSMM for ISA extraction, hyperspectral image was compared with multispectral Landsat TM image, and LSMM was compared with traditional hard classifiers, indicating that hyperspectral image is more effective than multispectral data for urban impervious surface extraction, and unmixing is superior to hard classification methods.