A New Quality Map for 2-D Phase Unwrapping Based on Gray Level Co-Occurrence Matrix

Liu, Gang; Wang, Robert; Deng, Yunkai; Chen, Runpu; Shao, Yunfeng; Yuan, Zhihui

doi:10.1109/lgrs.2013.2264857

Cited by 36 publications

(13 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where w 1 (s, s − 1) is the weighted coefficient, and any kind of quality map of the input interferogram could be used as weight [34]. Furthermore, we can equivalently translate (12) into…”

Section: Tspa Pu Methodsmentioning

confidence: 99%

Robust Two-Dimensional Phase Unwrapping for Multibaseline SAR Interferograms: A Two-Stage Programming Approach

Lan

2016

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

Multibaseline 2-D phase unwrapping (PU) is a critical step for the multibaseline synthetic aperture radar interferometry. Compared with the single-baseline PU, the multibaseline PU does not need to obey the phase continuity assumption, i.e., it is applicable to the terrain with the violent change. However, the performance of the multibaseline PU is directly related to noise level. In order to improve the noise robustness of the multibaseline PU, in this paper, we transplant the framework of the singlebaseline PU into the multibaseline PU and propose a two-stage programming approach, referred to as TSPA, which makes use of the gradient information of the interferogram similar to how the conventional single-baseline PU method does. Fortunately, although the proposed method belongs to the integer programming (usually, the integer programming is an NP-hard problem which is hard to solve), the constraint of the optimization model of the TSPA method is unimodular, so it can be efficiently solved. Furthermore, interestingly, some useful and important concepts of the single-baseline PU, for example, residue and branch cut, are also transplanted into the multibaseline PU in this paper, and we discuss the potential of extending most of the representative single-baseline PU methods into the multibaseline domain as well. Finally, the experiment results show the effectiveness and noise robustness of the TSPA multibaseline PU method.Index Terms-Multibaseline, robustness, single-baseline, synthetic aperture radar interferometry, unimodular, 2-D phase unwrapping (PU).

show abstract

Section: Tspa Pu Methodsmentioning

confidence: 99%

Robust Two-Dimensional Phase Unwrapping for Multibaseline SAR Interferograms: A Two-Stage Programming Approach

Lan

2016

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

show abstract

“…and the edge size, describe the richness and variety of the visual content in one image. The color entropy is defined by calculating the entropy of the gray-level co-occurrence matrix (GLCM) [23]. Visual content with various colors contains a higher value for the color entropy.…”

Section: Seam Planning With Maximal Visual Content Reservationmentioning

confidence: 99%

Efficient Image Stitching of Continuous Image Sequence With Image and Seam Selections

2015

View full text Add to dashboard Cite

This paper presents an efficient image stitching algorithm with better image quality and less processing time for online stitching of a continuous image sequence. Stitching many frames with similar scenes is time-consuming and easily generates inconsistency in the overlap region between frames. Instead of stitching every captured frame, only the dominant frames with significant visual content dissimilar to that in the previously stitched result are worthy of being stitched and can contribute much new information. Although the nondominant frames are not included in the mosaicked image, their homography matrix with respect to the mosaicked image will be roughly evaluated to localize the camera view on the mosaicked image as the region of stitching interest. A particle filter with partitioned sampling is utilized to categorize the stitching label and estimate the homography matrix. Moreover, to substantially increase the quality of offline image mosaicking, a seam planning algorithm is designed to eliminate the unclear ghost effect in the overlap region between dominant frames. The aim is to maximally preserve the visual content while eliminating inconsistencies in the overlap region. The proposed stitching algorithm has been verified in several online and offline experiments to present the efficiency of the overall system.

show abstract

“…As a result, many different techniques have been developed to tackle phase unwrapping problems. These include global error minimization algorithms [8,9], branch-cut methods [10,11], quality guided techniques [12,13,14,15] and region-growing approaches [16,17].…”

Section: Introductionmentioning

confidence: 99%

A spatial algorithm to reduce phase wraps from two dimensional signals in fringe projection profilometry

Arevalillo‐Herráez

Gdeisat²,

Lilley

et al. 2016

Optics and Lasers in Engineering

View full text Add to dashboard Cite

A spatial algorithm to reduce phase wraps from two dimensional signals in fringe projection profilometry http://researchonline.ljmu.ac.uk/3438/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LJMU Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain.The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription. AbstractIn this paper, we present a novel algorithm to reduce the number of phase wraps in two dimensional signals in fringe projection profilometry. The technique operates in the spatial domain, and achieves a significant computational saving with regard to existing methods based on frequency shifting.The method works by estimating the modes of the first differences distribution in each axial direction. These are used to generate a tilted plane, which is subtracted from the entire phase map. Finally, the result is re-wrapped to obtain a phase map with fewer wraps. The method may be able to completely eliminate the phase wraps in many cases, or can achieve a significant phase wrap reduction that helps the subsequent unwrapping of the signal.The algorithm has been exhaustively tested across a large number of real and simulated signals, showing similar results compared to approaches operating Optics and Lasers in Engineering February 9, 2016 in the frequency domain, but at significantly lower running times.

show abstract

A New Quality Map for 2-D Phase Unwrapping Based on Gray Level Co-Occurrence Matrix

Cited by 36 publications

References 12 publications

Robust Two-Dimensional Phase Unwrapping for Multibaseline SAR Interferograms: A Two-Stage Programming Approach

Robust Two-Dimensional Phase Unwrapping for Multibaseline SAR Interferograms: A Two-Stage Programming Approach

Efficient Image Stitching of Continuous Image Sequence With Image and Seam Selections

A spatial algorithm to reduce phase wraps from two dimensional signals in fringe projection profilometry

Contact Info

Product

Resources

About