The suggested wavelet-based despeckling method for multi-look SAR images does not use any thresholding and
window processing to avoid ringing artifacts, blurring, fusion of edges, etc. Instead, the logical operation of comparison
is applied to wavelet coefficients which are presented in spatial oriented trees (SOTs) of wavelet decomposition
calculated for one and the same region of the earth surface during SAR spacecraft flight. Fusion of SAR images is
decided by keeping the smallest wavelet coefficients from different SOTs in high frequency subbands (details). The
wavelet coefficients related to the low frequency subband (approximation) are processed by another special logical
operation providing with a good smoothing. It is because the described procedure depends on properties of the chosen
wavelet basis then the library of wavelet bases is applied. The procedure is repeated for each wavelet basis. To select the
best SOTs (and hence, the best wavelet basis) there is the special cost function which considers the SOTs as so-called
coherent structures and shows which of wavelet bases brings the maximum entropy. The results of computer modeling
and comparison with few well-known despeckling procedures have shown the superb quality of the proposed method in
the sense of different criteria as PSNR, SSIM, etc.
A new despeckling method based on matching pursuit of subband coherent structures of a wavelet-decomposed SAR
image is suggested. The iterative pursuit of coherent structures within each subband is organized as an adaptive
thresholding of wavelet coefficients using the best wavelet basis chosen from the library of bases minimizing the cost
function. The processed image is formed as the cumulative sum of the pseudo images computed by applying of inverse
wavelet transform within each iteration. The results of computer modeling have shown the superb quality of the
enhanced images obtained by the proposed method in the sense of different criteria as MSE, PSNR, SSIM.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.