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Parisar: Patch-Based Estimation and Regularized Inversion for Multibaseline SAR Interferometry

Giampaolo Ferraioli, Charles-Alban Deledalle, Loic Denis, Florence Tupin
<span title="">2018</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4odsbtjobjalfki6xxabjpdu6y" style="color: black;">IEEE Transactions on Geoscience and Remote Sensing</a> </i> &nbsp;
multi-baseline SAR interferometry.  ...  The optimization algorithm, based on graph-cuts, identifies the global optimum.  ...  ACKNOWLEDGMENTS This work has been partly supported by the Italian Space Agency (ASI) within the project ID2246 Development of Imaging and Monitoring Methodologies based on the use of COSMO-Skymed SAR  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2017.2765761">doi:10.1109/tgrs.2017.2765761</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t7nxzwetgnezdos4ollfcojbpe">fatcat:t7nxzwetgnezdos4ollfcojbpe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721135332/https://hal-ujm.archives-ouvertes.fr/ujm-01525973/file/paper_R1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/21/c4/21c49f0e0d9ccb0efb30a31f00268863531ac125.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2017.2765761"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Extended Phase Unwrapping Max-Flow/Min-Cut Algorithm for Multibaseline SAR Interferograms Using a Two-Stage Programming Approach

Lifan Zhou, Yang Lan, Yu Xia, Shengrong Gong
<span title="2020-01-09">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
In this paper, an extended PU max-flow/min-cut (PUMA) algorithm for MB InSAR using the TSPA, referred to as TSPA-PUMA, is proposed, consisting of a two-stage programming procedure.  ...  In addition, the noise robustness of TSPA-PUMA can be improved through adding more interferograms with different baseline lengths.  ...  In this paper, an extended PUMA algorithm for MB InSAR using the TSPA approach, abbreviated as the TSPA-PUMA method, is proposed, which consists of a two-stage programming procedure.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20020375">doi:10.3390/s20020375</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31936555">pmid:31936555</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7014010/">pmcid:PMC7014010</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v5glnlh6pjf2bhjalbeg7gz4bu">fatcat:v5glnlh6pjf2bhjalbeg7gz4bu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200209175719/https://res.mdpi.com/d_attachment/sensors/sensors-20-00375/article_deploy/sensors-20-00375.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/8b/3d8b07e56ab7c56e27d9e7e6dba3c5902c5267cb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20020375"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014010" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Comparison of optimization algorithms for interferometric synthetic aperture radar phase unwrapping based on identical Markov random fields

Lifan Zhou, Dengfeng Chai, Yu Xia, Peifeng Ma
<span title="2018-06-19">2018</span> <i title="SPIE-Intl Soc Optical Eng"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/432bmec4lfhu5cxeshhodwkttm" style="color: black;">Journal of Applied Remote Sensing</a> </i> &nbsp;
Comparison of optimization algorithms for interferometric synthetic aperture radar phase unwrapping based on identical Markov random fields," Abstract.  ...  We address this by investigating the four optimization algorithms and comparing them on an identical MRF model, which gives researchers some guidance as to which optimization method is best suited for  ...  The authors would like to thank the anonymous reviewers for their constructive comments, which were taken into account in revising this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/1.jrs.12.025016">doi:10.1117/1.jrs.12.025016</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ryz2nkmqabbfvipvdxnc7imjbe">fatcat:ryz2nkmqabbfvipvdxnc7imjbe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427144624/https://www.spiedigitallibrary.org/journals/Journal-of-Applied-Remote-Sensing/volume-12/issue-2/025016/Comparison-of-optimization-algorithms-for-interferometric-synthetic-aperture-radar-phase/10.1117/1.JRS.12.025016.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/17/dd/17ddf611005f352b1ed5715eb64fb06b23c50912.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/1.jrs.12.025016"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Φ-Net: Deep Residual Learning for InSAR Parameters Estimation

Francescopaolo Sica, Giorgia Gobbi, Paola Rizzoli, Lorenzo Bruzzone
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4odsbtjobjalfki6xxabjpdu6y" style="color: black;">IEEE Transactions on Geoscience and Remote Sensing</a> </i> &nbsp;
The proposed architecture provides better results with respect to state-of-the-art InSAR algorithms on both synthetic and real test data.  ...  In this article, we address the problem of the estimation of the interferometric parameters from synthetic aperture radar (SAR) data.  ...  ACKNOWLEDGMENT The authors would like to thank Philipp Posovszky for his valuable IT support.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2020.3020427">doi:10.1109/tgrs.2020.3020427</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/journals/tgrs/SicaGRB21.html">dblp:journals/tgrs/SicaGRB21</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2gsgkskhdna3rnql6vgnkwdbma">fatcat:2gsgkskhdna3rnql6vgnkwdbma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210609105338/https://ieeexplore.ieee.org/ielx7/36/9410448/09198099.pdf?tp=&amp;arnumber=9198099&amp;isnumber=9410448&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/58/0d/580da7aa8813c2694614c4c42cffdc87b071d497.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2020.3020427"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>