{"id":256,"date":"2021-12-15T23:36:44","date_gmt":"2021-12-15T15:36:44","guid":{"rendered":"http:\/\/mijiang.org.cn\/?page_id=256"},"modified":"2021-12-19T00:36:34","modified_gmt":"2021-12-18T16:36:34","slug":"publications","status":"publish","type":"page","link":"http:\/\/mijiang.org.cn\/index.php\/zh\/publications\/","title":{"rendered":"\u5b66\u672f\u6210\u679c"},"content":{"rendered":"<h4><span style=\"color: #003300;\"><strong>\u4ee3\u8868\u6027\u8bba\u6587<\/strong><\/span><\/h4>\n<p><strong>\u56fd\u9645\u671f\u520a<\/strong><\/p>\n<ol>\n<li><strong>M. Jiang<\/strong>, X. Zhao, X. Shi*, \u201cKinematic Behavior Analysis of the Wadi Landslide from Time-series Sentinel-1 Data\u201d, <em>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing<\/em>, DOI: 10.1109\/JSTARS.2021.3134177, 2021.<\/li>\n<li>Z. Ma, <strong>M. Jiang*<\/strong>, M. Khoshmanesh, X. Cheng, \u201cTime Series Phase Unwrapping Based on Graph Theory and Compressed Sensing,\u201d <em>IEEE Transactions on Geoscience and Remote Sensing<\/em>, DOI: 10.1109\/TGRS.2021.3066784, 2021.<\/li>\n<li><strong>M. Jiang*<\/strong>, \u201cSentinel-1 TOPS co-registration over low coherence area and its application to velocity estimation using the all pairs shortest path algorithm,\u201d <em>Journal of Geodesy<\/em>, 94, 95, 2020.<\/li>\n<li><strong>M. Jiang<\/strong>, A. Hooper, X. Tian*, J. Xu, S. Chen, Z. Ma, X. Cheng. \u201cDelineation of built-up land change from SAR stack by analysing the coefficient of variation,\u201d <em>ISPRS Journal of Photogrammetry and Remote Sensing<\/em>, 169: 93-108, 2020.<\/li>\n<li>Z. Ma, <strong>M. Jiang*<\/strong>, T Huang. \u201cA Sequential Approach for Sentinel-1 TOPS Time-Series Co-Registration Over Low Coherence Scenarios\u201d, <em>IEEE Transactions on Geoscience and Remote Sensing<\/em>, DOI: 10.1109\/TGRS.2020.3009996, 2020.<\/li>\n<li>X. Tian, Z. Ma, <strong>M. Jiang*.<\/strong> \u201cA Modification to Time-series Co-registration for Sentinel-1 TOPS Data\u201d, <em>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing<\/em>, 13: 1639-1648, 2020.<\/li>\n<li><strong>M. Jiang*<\/strong>, A. M. Guarnieri, \u201cDistributed Scatterer Interferometry with The Refinement of Spatiotemporal Coherence,\u201d <em>IEEE Transactions on Geoscience and Remote Sensing<\/em>, 58(6): 3977-3987, 2020.<\/li>\n<li>Z. Ma, <strong>M. Jiang*<\/strong>, Y. Zhao, R. Malhotra and B. Yong. \u201cMinimum Spanning Tree Co-registration Approach for Time-Series Sentinel-1 TOPS Data\u201d, <em>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing<\/em>, 8(12): 3004-3013,2019.<\/li>\n<li><strong>M. Jiang,<\/strong> Z. Miao*, P. Gamba, and B. Yong, \u201cApplication of Multitemporal InSAR Covariance and Information Fusion to Robust Road Extraction,\u201d <em>IEEE Transactions on Geoscience and Remote Sensing<\/em>, vol. 55, pp. 3611-3622, 2017.<\/li>\n<li><strong>M. Jiang*<\/strong>, B. Yong, X. Tian, R. Malhotra, R. Hu, Z. Li, Z. Yu, and X. Zhang, \u201cThe potential of more accurate InSAR covariance matrix estimation for land cover mapping,\u201d <em>ISPRS Journal of Photogrammetry and Remote Sensing<\/em>, vol. 126, pp. 120-128, 2017.<\/li>\n<li><strong>M. Jiang*<\/strong>, X. Ding, R. F. Hanssen, R. Malhotra, and L. Chang, \u201cFast Statistically Homogeneous Pixel Selection for Covariance Matrix Estimation for Multitemporal InSAR,\u201d <em>IEEE Transactions on Geoscience and Remote Sensing<\/em>, vol. 53, pp. 1213-1224, 2015.<\/li>\n<li><strong>M. Jiang*<\/strong>, X. Ding, and Z. Li, \u201cHybrid approach for unbiased coherence estimation for multitemporal InSAR,\u201d <em>IEEE Transactions on Geoscience and Remote Sensing<\/em>, vol. 52, pp. 2459-2473, 2014.<\/li>\n<li><strong>M. Jiang*<\/strong>, X. Ding, Z. Li, X. Tian, C. Wang, and W. Zhu, \u201cInSAR Coherence Estimation for Small Data Sets and Its Impact on Temporal Decorrelation Extraction,\u201d <em>IEEE Transactions on Geoscience and Remote Sensing<\/em>, vol. 52, pp. 6584-6596, 2014.<\/li>\n<li><strong>M. Jiang,<\/strong> X. Ding*, Z. Li, X. Tian, W. Zhu, C. Wang, and B. Xu, \u201cThe Improvement for Baran Phase Filter Derived From Unbiased InSAR Coherence,\u201d <em>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing<\/em>, vol. 7, pp. 3002-3010, 2014.<\/li>\n<li><strong>M. Jiang<\/strong>, X. Ding*, X. Tian, R. Malhotra, and W. Kong, \u201cA hybrid method for optimization of the adaptive Goldstein filter,\u201d <em>ISPRS Journal of Photogrammetry and Remote Sensing<\/em>, vol. 98, pp. 29-43, 2014.<\/li>\n<li><strong>M. Jiang<\/strong>, Z. Li*, X. Ding, J.-J. Zhu, and G. Feng, \u201cModeling minimum and maximum detectable deformation gradients of interferometric SAR measurements,\u201d <em>International Journal of Applied Earth Observation and Geoinformation<\/em>, vol. 13, pp. 766-777, 2011.<\/li>\n<\/ol>\n<hr \/>\n<p><strong>\u56fd\u5185\u671f\u520a<\/strong><\/p>\n<ol>\n<li>\u5468\u6210\uff0c\u9a6c\u5f20\u70fd\uff0c<strong>\u848b\u5f25*.<\/strong> \u5f71\u50cf\u5927\u5730\u6d4b\u91cf\u6280\u672f\u518d\u63a2\u4f0a\u6717\u6851\u585e\u83f2\u5fb72017\u5e74MW6.1\u5730\u9707\u76f2\u65ad\u5c42\u503e\u5411\uff0c<em>\u5730\u7403\u7269\u7406\u5b66\u62a5<\/em>\uff0c64 (6), 1987-2000<\/li>\n<li>\u9a6c\u5f20\u70fd\uff0c<strong>\u848b\u5f25*<\/strong>\uff0c\u674e\u6842\u534e\uff0c\u9ec4\u817e. \u65f6\u5e8fInSAR\u76f8\u4f4d\u89e3\u7f20\u7a7a\u95f4\u7f51\u7edc\u4f18\u5316\u2014\u4ee5Delaunay\u4e0eDijkstra\u7f51\u7edc\u4e3a\u4f8b,<em> \u6d4b\u7ed8\u5b66\u62a5<\/em>\uff0c2021<\/li>\n<li>\u9a6c\u5f20\u70fd\uff0c<strong>\u848b\u5f25*<\/strong>\uff0c\u4e01\u742a\u7444. \u65f6\u5e8fSentinel-1 TOPS\u6a21\u5f0fSAR\u6570\u636e\u7cbe\u914d\u51c6\u7814\u7a76, <em>\u6d4b\u7ed8\u5b66\u62a5<\/em>\uff0c2021<\/li>\n<li>\u8d75\u8be3, <strong>\u848b\u5f25*<\/strong>. \u6781\u5316SAR\u53c2\u6570\u4f18\u5316\u4e0e\u5149\u5b66\u6ce2\u8c31\u76f8\u7ed3\u5408\u7684\u9762\u5411\u5bf9\u8c61\u571f\u5730\u8986\u76d6\u5206\u7c7b, <em>\u6d4b\u7ed8\u5b66\u62a5<\/em>, 48(5): 609-617, 2019<\/li>\n<li><strong>\u848b\u5f25<\/strong>\uff0c\u4e01\u6653\u5229\uff0c\u674e\u5fd7\u4f1f. \u65f6\u5e8fInSAR\u540c\u8d28\u6837\u672c\u9009\u53d6\u7b97\u6cd5\u7814\u7a76, <em>\u5730\u7403\u7269\u7406\u5b66\u62a5<\/em>\uff0c61(12): 4767-4776\uff0c2018<\/li>\n<li><strong>\u848b\u5f25<\/strong>\uff0c\u4e01\u6653\u5229\uff0c\u4f55\u79c0\u51e4\uff0c\u674e\u5fd7\u4f1f\uff0c\u53f2\u56fd\u5f3a. \u57fa\u4e8e\u5feb\u901f\u5206\u5e03\u5f0f\u76ee\u6807\u63a2\u6d4b\u7684\u65f6\u5e8f\u96f7\u8fbe\u5e72\u6d89\u6d4b\u91cf\u65b9\u6cd5:\u4ee5Lost Hills\u6cb9\u85cf\u533a\u4e3a\u4f8b. <em>\u5730\u7403\u7269\u7406\u5b66\u62a5<\/em>, 59(10): 3592-3603, 2016<\/li>\n<li>\u8d75\u6587\u80dc\uff0c<strong>\u848b\u5f25*<\/strong>\uff0c\u4f55\u79c0\u51e4. \u5e72\u6d89\u56fe\u50cf\u7b2c\u4e8c\u7c7b\u7edf\u8ba1Goldstein\u81ea\u9002\u5e94\u6ee4\u6ce2\u65b9\u6cd5\uff0c<em>\u6d4b\u7ed8\u5b66\u62a5<\/em>, 45(10): 1200-1209, 2016<\/li>\n<li><strong>\u848b\u5f25<\/strong>\uff0c\u4e01\u6653\u5229\uff0c\u674e\u5fd7\u4f1f, \u6c6a\u9a70\u5347\uff0c\u6731\u6b66\uff0c\u67ef\u7075\u7ea2. \u57fa\u4e8e\u65f6\u95f4\u5e8f\u5217\u7684InSAR\u76f8\u5e72\u6027\u91cf\u7ea7\u4f30\u8ba1, <em>\u5730\u7403\u7269\u7406\u5b66\u62a5<\/em>, 56(3): 799-811, 2013<\/li>\n<li><strong>\u848b\u5f25,<\/strong> \u674e\u5fd7\u4f1f, \u4e01\u6653\u5229, \u6731\u5efa\u519b, \u5c39\u5b8f\u6770. InSAR\u53ef\u68c0\u6d4b\u7684\u6700\u5927\u6700\u5c0f\u53d8\u5f62\u68af\u5ea6\u7684\u51fd\u6570\u6a21\u578b\u7814\u7a76, <em>\u5730\u7403\u7269\u7406\u5b66\u62a5<\/em>, 52(7):1715-1724, 2009<\/li>\n<\/ol>\n<hr \/>\n<h4><span style=\"color: #003300;\">\u4ee3\u8868\u6027\u9879\u76ee<\/span><\/h4>\n<ol>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u9762\u4e0a\u57fa\u91d1 \u201c\u957f\u65f6\u5e8fInSAR\u5e8f\u8d2f\u5904\u7406\u201d\uff0c\u4e3b\u6301\uff0c2021.1-2024.12<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u9762\u4e0a\u57fa\u91d1 \u201c\u591a\u7ef4InSAR\u590d\u534f\u65b9\u5dee\u77e9\u9635\u4f30\u8ba1\u7814\u7a76\u201d\uff0c\u4e3b\u6301\uff0c2018.1-2021.12<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u9752\u5e74\u57fa\u91d1 \u201c\u591a\u65f6\u76f8InSAR\u76f8\u5e72\u6027\u4f30\u8ba1\u7814\u7a76\u201d\uff0c\u4e3b\u6301\uff0c2015.1-2017.12<\/li>\n<li>\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\uff0c\u201c\u5927\u6570\u636e\u9a71\u52a8\u7684\u6d41\u57df\u667a\u80fd\u7ba1\u7406\u4e0e\u51b3\u7b56\u5173\u952e\u6280\u672f\uff082018YFC0407900\uff09\u201d\uff0c\u5b50\u8bfe\u9898\u8d1f\u8d23\u4eba\uff0c2018.7-2021.6<\/li>\n<li>\u4e2d\u56fd\u79d1\u6280\u90e8-\u6b27\u6d32\u7a7a\u95f4\u5c40\u201c\u9f99\u8ba1\u5212\u201d\u9879\u76ee\u7b2c\u56db\u671f \u201c\u878d\u5408\u591a\u6e90\u89c2\u6d4b\u8d44\u6599\u548c\u7cbe\u786e\u7684INSAR\u53c2\u6570\u4f30\u8ba1\u65b9\u6cd5\u63d0\u9ad8\u590d\u6742\u5730\u8c8c\u5206\u7c7b\u7cbe\u5ea6\uff1a\u4ee5\u4e2d\u56fd\u4e1c\u90e8\u57ce\u5e02\u4e3a\u4f8b\u201d\uff0c\u4e2d\u65b9\u4e3b\u6301\uff0c2016.7-2020.6<\/li>\n<li>\u6c5f\u82cf\u7701\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee\uff0c\u201cMT-InSAR\u65f6\u7a7a\u76f8\u5e72\u6027\u7cbe\u786e\u63d0\u53d6\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76\u201d\uff0c\u4e3b\u6301, 2017.7-2020.6<\/li>\n<li>\u65e5\u672c\u5b87\u822a\u5c40\u6570\u636e\u5408\u4f5c\u8ba1\u5212\u9879\u76ee \uff08JAXA 2nd Research Announcement on the Earth Observations, PI No. ER2A2N034\uff09\u201cApplication of Time Series PALSAR-2 Dataset to Deformation Monitoring in Southern China\u201d, \u4e3b\u6301\uff0c2019.5-2021.4<\/li>\n<li>\u610f\u5927\u5229\u7a7a\u95f4\u5c40\u6570\u636e\u5408\u4f5c\u8ba1\u5212\u9879\u76ee \uff08ID247\uff09\u201cLand Cover Mapping over Urban Areas with Rich Texture Using Multitemporal COMSMO-SkyMed Datasets\u201d, \u4e3b\u6301\uff0c2015.12-2021.12<\/li>\n<li>\u5fb7\u56fd\u822a\u7a7a\u592a\u7a7a\u4e2d\u5fc3\u6570\u636e\u5408\u4f5c\u8ba1\u5212\uff08LAN3106\uff09\u201cApplying TerraSAR-X Datasets to Geo-Hazards Monitoring over the major cities in Southern China\u201d\uff0c\u4e3b\u6301\uff0c 2016.12-2018.12<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>\u4ee3\u8868\u6027\u8bba\u6587 \u56fd\u9645\u671f\u520a M. Jiang, X. Zhao, X. Shi*, \u201cKinematic Behavior Analysis of the Wadi Landslide from Time-series Sentinel-1 Data\u201d, IEEE&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"spay_email":""},"_links":{"self":[{"href":"http:\/\/mijiang.org.cn\/index.php\/wp-json\/wp\/v2\/pages\/256"}],"collection":[{"href":"http:\/\/mijiang.org.cn\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/mijiang.org.cn\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/mijiang.org.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/mijiang.org.cn\/index.php\/wp-json\/wp\/v2\/comments?post=256"}],"version-history":[{"count":9,"href":"http:\/\/mijiang.org.cn\/index.php\/wp-json\/wp\/v2\/pages\/256\/revisions"}],"predecessor-version":[{"id":371,"href":"http:\/\/mijiang.org.cn\/index.php\/wp-json\/wp\/v2\/pages\/256\/revisions\/371"}],"wp:attachment":[{"href":"http:\/\/mijiang.org.cn\/index.php\/wp-json\/wp\/v2\/media?parent=256"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}