Absolute phase estimation: adaptive local denoising and global unwrapping
نویسندگان
چکیده
منابع مشابه
Absolute phase estimation: adaptive local denoising and global unwrapping.
The paper attacks absolute phase estimation with a two-step approach: the first step applies an adaptive local denoising scheme to the modulo-2 pi noisy phase; the second step applies a robust phase unwrapping algorithm to the denoised modulo-2 pi phase obtained in the first step. The adaptive local modulo-2 pi phase denoising is a new algorithm based on local polynomial approximations. The zer...
متن کاملPhase Imaging: Unwrapping and Denoising with Diversity and Multi-resolution
Many imaging techniques, e.g., interferometric synthetic aperture radar (InSAR), and magnetic resonance imaging (MRI), yield phase images. In these, generally, each pixel retrieves the phase up to a modulo-2π rad ambiguity, i.e., the phase wrapped around the principal interval [−π π[. Phase unwrapping (PU) is, then, a crucial operation to obtain absolute phase, which is where physical informati...
متن کاملRevisiting Homomorphic Wavelet Estimation and Phase Unwrapping
Surface-consistent deconvolution is a standard processing technique in land data to uniformize the wavelet across all sources and receivers. The required wavelet estimation step is generally done in the homomorphic domain since this is a convenient way to separate the phase and the amplitude spectrum in a linear fashion. Unfortunately all surface-consistent deconvolutions make a minimum-phase a...
متن کاملImproving Rtisi Phase Estimation with Energy Order and Phase Unwrapping
This paper presents two ways to improve the Real-Time Iterative Spectrogram Inversion (RTISI) algorithm. The standard RTISI phase estimator with look-ahead processes the buffered frames in reverse order. We show that better results are achieved by controlling this order according to frame energy. Another improvement is to initialize the last row of the phase estimator buffer by progressing the ...
متن کاملSar Phase Unwrapping Using Adaptive Recursive Smoothing
Regarding the interferometric evaluation of Synthetic Aperture Radar (SAR) data, phase unwrapping is one of the most difficult processing steps. In the past several methods have been developed, such as the least squares or the branch cut methods. In this paper the influences of terrain shape and phase noise on phase unwrapping are discussed. A new approach to phase unwrapping is taken which con...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Optics
سال: 2008
ISSN: 0003-6935,1539-4522
DOI: 10.1364/ao.47.005358