Relative Radiometric Correction of Multitemporal Satellite Imagery Using Fourier and Wavelet Transform |
| |
Authors: | Seema Gore Biday Udhav Bhosle |
| |
Institution: | 1.Department of Computer Engineering,Terna Engineering College,Navi Mumbai,India;2.Department of Computer Engineering,Rajiv Gandhi Institute of Technology,Andheri,India |
| |
Abstract: | Remotely sensed multitemporal, multisensor data are often required in Earth observation applications. A common problem associated
with the use of multisource image data is the grey value differences caused by non-surface factors such as different illumination,
atmospheric, or sensor conditions. Image normalization is required to reduce the radiometric influences caused by non-surface
factors and to ensure that the grey value differences between temporal images reflect actual changes on the surface of the
Earth. This paper proposes new approaches to radiometric correction of multitemporal satellite imagery using wavelet analysis
and Fourier transform. The results obtained are compared with commonly used NO-change regression (NC) normalization and Histogram
Matching spatial domain methods. Both visual inspection and statistical accuracy assessment show that proposed transform domain
approaches are valid. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|