Title :
Grid pattern based residential area detection from Hyperion data
Author :
Cong, Lin ; Nutter, Brian ; Liang, Daan
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Tech Univ., Lubbock, TX, USA
Abstract :
Satellite hyperspectral imagery has been widely used in geological and agricultural studies. However, its use for an urban environment is limited due to low spatial resolution. Few methods in the literature attempt to use both spectral and spatial information in hyperspectral imagery. In this paper, a new method of performing spectral correlation and detecting urban signatures by analyzing discrete Fourier components of a correlation image is presented. The results from the recognition of residential building areas are demonstrated.
Keywords :
geophysical image processing; photogrammetry; terrain mapping; correlation image; discrete Fourier components; grid pattern; hyperion data; residential area detection; residential building areas; satellite hyperspectral imagery; spatial resolution; spectral correlation; urban environment; urban signatures; Buildings; Geology; Hyperspectral imaging; Hyperspectral sensors; Image analysis; Performance analysis; Pixel; Soil; Spatial resolution; Vegetation mapping;
Conference_Titel :
Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7801-9
DOI :
10.1109/SSIAI.2010.5483906
