DocumentCode
2475728
Title
Multi-resolution and multi-sensor data fusion for remote sensing in detecting air pollution
Author
Zia, Amir ; DeBrunner, Victor ; Chinnaswamy, Arulamani ; DeBrunner, Linda
Author_Institution
Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA
fYear
2002
fDate
2002
Firstpage
9
Lastpage
13
Abstract
A study is being conducted to locate areas with air pollution around Oklahoma City. This paper describes an interpolation method required to fuse the multi-spectral and multi-sensor remotely sensed images used in this project. The interpolation method preserves appropriate textural features
Keywords
air pollution control; air pollution measurement; edge detection; feature extraction; image resolution; image texture; interpolation; remote sensing; sensor fusion; spectral analysis; Oklahoma City; air pollution detection; data fusion; interpolation; multi-resolution images; multi-sensor images; multi-spectral images; remotely sensed images; textural feature preservation; Air pollution; Cities and towns; Clouds; Discrete wavelet transforms; Earth; Interpolation; Rain; Remote sensing; Satellites; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation, 2002. Proceedings. Fifth IEEE Southwest Symposium on
Conference_Location
Sante Fe, NM
Print_ISBN
0-7695-1537-1
Type
conf
DOI
10.1109/IAI.2002.999880
Filename
999880
Link To Document