Impervious Surface Information Extraction Based on Hyperspectral Remote Sensing Imagery
AbstractThe retrieval of impervious surface information is a hot topic in remote sensing. However, researches on impervious surface retrieval from hyperspectral remote sensing imagery are rare. This paper illustrates a case study of information extraction from urban impervious surfaces based on hyperspectral remote sensing imagery that is intended to improve the image spectral resolution of impermeable materials. Fuzhou, Guangzhou, and Hangzhou were selected as test areas and EO-1 Hyperion images were used as data sources. The impervious surface features were retrieved from remote sensing images using linear spectral mixture analysis. A stepwise discriminant analysis was performed to select feature bands for impervious surface retrieval. A standard deviation analysis, correlation analysis, and principal component analysis were then carried out for each of those up to 158 valid Hyperion spectral bands. Eleven feature bands were selected using the stepwise discriminant analysis and a new image called Hyperion’ was formed. The impervious surface was then retrieved from Hyperion’. The results indicate that the extraction accuracy and coverage accuracy are high in all three test areas. Tests of eleven feature band combinations selected in different areas show very good representations of the band combinations in impervious surface retrieval, and can thus be used as optimal band combinations for impervious surface retrieval. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Tang, F.; Xu, H. Impervious Surface Information Extraction Based on Hyperspectral Remote Sensing Imagery. Remote Sens. 2017, 9, 550.
Tang F, Xu H. Impervious Surface Information Extraction Based on Hyperspectral Remote Sensing Imagery. Remote Sensing. 2017; 9(6):550.Chicago/Turabian Style
Tang, Fei; Xu, Hanqiu. 2017. "Impervious Surface Information Extraction Based on Hyperspectral Remote Sensing Imagery." Remote Sens. 9, no. 6: 550.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.