Research on SAR data integrated processing methodology oriented on earth environment factor inversions
As an important advanced technique in the field of Earth observations, Synthetic Aperture Radar (SAR) plays a key role in the study of global environmental change, resources exploration, disaster mitigation, urban environments, and even lunar exploration. However, studies on imaging, image processin...
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| Veröffentlicht in: | International journal of digital earth 2017-07, Vol.10 (7), p.657-674 |
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| creator | Guo, Huadong Chen, Jie Li, Xinwu Zhang, Lu Wu, Wenjin Liu, Huiying Wang, Kai Li, Zhuo Gu, Xinwei Hu, Qingrong Wang, Xinmin Li, Jun Han, Chunming Zhu, Junjie Shen, Guozhuang Liu, Guang Fu, Wenxue Sun, Zhongchang Wen, Xiaoyang |
| description | As an important advanced technique in the field of Earth observations, Synthetic Aperture Radar (SAR) plays a key role in the study of global environmental change, resources exploration, disaster mitigation, urban environments, and even lunar exploration. However, studies on imaging, image processing, and Earth factor inversions have often been conducted independently for a long time, which significantly limits the application effectiveness of SAR remote sensing due to the lack of an overall integrated design scheme and integrated information processing. Focusing on this SAR application issue, this paper proposes and describes a new SAR data processing methodology - SAR data integrated processing (DIP) oriented on Earth environment factor inversions. The simple definition, typical integrated modes and overall implementation ideas are introduced. Finally, focusing on building information extraction (man-made targets) and sea ice classification (natural targets) applications, three SAR DIP methods and experiments are conducted. Improved results are obtained under the guidance of the SAR DIP framework. Therefore, the SAR DIP theoretical framework and methodology represent a new SAR science application mode that has the capability to improve the SAR remote sensing quantitative application level and promote the development of new theories and methodologies. |
| doi_str_mv | 10.1080/17538947.2016.1275831 |
| format | Article |
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However, studies on imaging, image processing, and Earth factor inversions have often been conducted independently for a long time, which significantly limits the application effectiveness of SAR remote sensing due to the lack of an overall integrated design scheme and integrated information processing. Focusing on this SAR application issue, this paper proposes and describes a new SAR data processing methodology - SAR data integrated processing (DIP) oriented on Earth environment factor inversions. The simple definition, typical integrated modes and overall implementation ideas are introduced. Finally, focusing on building information extraction (man-made targets) and sea ice classification (natural targets) applications, three SAR DIP methods and experiments are conducted. Improved results are obtained under the guidance of the SAR DIP framework. Therefore, the SAR DIP theoretical framework and methodology represent a new SAR science application mode that has the capability to improve the SAR remote sensing quantitative application level and promote the development of new theories and methodologies.</description><identifier>ISSN: 1753-8947</identifier><identifier>EISSN: 1753-8955</identifier><identifier>DOI: 10.1080/17538947.2016.1275831</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>building detection ; Classification ; Data analysis ; Data processing ; Disaster management ; Earth environment ; Exploration ; Frameworks ; Image processing ; Imaging techniques ; Information processing ; Inversions ; Lunar exploration ; Methodology ; Mitigation ; mode and theoretical framework ; Modes ; Radar ; Remote sensing ; Resource exploration ; SAR (radar) ; SAR data integrated processing ; Sea ice ; sea ice classification ; Synthetic aperture radar ; Urban environments</subject><ispartof>International journal of digital earth, 2017-07, Vol.10 (7), p.657-674</ispartof><rights>2017 Informa UK Limited, trading as Taylor & Francis Group 2017</rights><rights>2017 Informa UK Limited, trading as Taylor & Francis Group</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c352t-b3f92e866c74bccef21d3cde59ce72b24ade0456f1ba306f60d422d3f680915f3</cites><orcidid>0000-0001-8596-8528</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Guo, Huadong</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><creatorcontrib>Li, Xinwu</creatorcontrib><creatorcontrib>Zhang, Lu</creatorcontrib><creatorcontrib>Wu, Wenjin</creatorcontrib><creatorcontrib>Liu, Huiying</creatorcontrib><creatorcontrib>Wang, Kai</creatorcontrib><creatorcontrib>Li, Zhuo</creatorcontrib><creatorcontrib>Gu, Xinwei</creatorcontrib><creatorcontrib>Hu, Qingrong</creatorcontrib><creatorcontrib>Wang, Xinmin</creatorcontrib><creatorcontrib>Li, Jun</creatorcontrib><creatorcontrib>Han, Chunming</creatorcontrib><creatorcontrib>Zhu, Junjie</creatorcontrib><creatorcontrib>Shen, Guozhuang</creatorcontrib><creatorcontrib>Liu, Guang</creatorcontrib><creatorcontrib>Fu, Wenxue</creatorcontrib><creatorcontrib>Sun, Zhongchang</creatorcontrib><creatorcontrib>Wen, Xiaoyang</creatorcontrib><title>Research on SAR data integrated processing methodology oriented on earth environment factor inversions</title><title>International journal of digital earth</title><description>As an important advanced technique in the field of Earth observations, Synthetic Aperture Radar (SAR) plays a key role in the study of global environmental change, resources exploration, disaster mitigation, urban environments, and even lunar exploration. However, studies on imaging, image processing, and Earth factor inversions have often been conducted independently for a long time, which significantly limits the application effectiveness of SAR remote sensing due to the lack of an overall integrated design scheme and integrated information processing. Focusing on this SAR application issue, this paper proposes and describes a new SAR data processing methodology - SAR data integrated processing (DIP) oriented on Earth environment factor inversions. The simple definition, typical integrated modes and overall implementation ideas are introduced. Finally, focusing on building information extraction (man-made targets) and sea ice classification (natural targets) applications, three SAR DIP methods and experiments are conducted. Improved results are obtained under the guidance of the SAR DIP framework. Therefore, the SAR DIP theoretical framework and methodology represent a new SAR science application mode that has the capability to improve the SAR remote sensing quantitative application level and promote the development of new theories and methodologies.</description><subject>building detection</subject><subject>Classification</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Disaster management</subject><subject>Earth environment</subject><subject>Exploration</subject><subject>Frameworks</subject><subject>Image processing</subject><subject>Imaging techniques</subject><subject>Information processing</subject><subject>Inversions</subject><subject>Lunar exploration</subject><subject>Methodology</subject><subject>Mitigation</subject><subject>mode and theoretical framework</subject><subject>Modes</subject><subject>Radar</subject><subject>Remote sensing</subject><subject>Resource exploration</subject><subject>SAR (radar)</subject><subject>SAR data integrated processing</subject><subject>Sea ice</subject><subject>sea ice classification</subject><subject>Synthetic aperture radar</subject><subject>Urban environments</subject><issn>1753-8947</issn><issn>1753-8955</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kU9rGzEQxZeSQB2nH6Eg6Nmu_q5Wt4bQpoZAIE3OQiuNbJm1lEpKir99tXWaY04zPM37zaDXdZ8JXhM84K9ECjYoLtcUk35NqBQDIx-6xayvBiXE2VvP5cfuopQ9xj3mnC06fw8FTLY7lCL6dXWPnKkGhVhhm00Fh55yslBKiFt0gLpLLk1pe0QpB4jze7M1f90hiC8hp3hoMvLG1pQb5gVyCSmWy-7cm6nAp9e67B5_fH-4_rm6vbvZXF_driwTtK5G5hWFoe-t5KO14ClxzDoQyoKkI-XGAeai92Q0DPe-x45T6pjvB6yI8GzZbU5cl8xeP-VwMPmokwn6n5DyVrdjg51A24axxHiJheKjl6OQgs4kbqU0dGZ9ObHaF_x-hlL1Pj3n2M7XRDGmBFdKtClxmrI5lZLBv20lWM_x6P_x6Dke_RpP8307-UL0KR_Mn5Qnp6s5Tin7bKINRbP3EX8BSz-YZg</recordid><startdate>20170703</startdate><enddate>20170703</enddate><creator>Guo, Huadong</creator><creator>Chen, Jie</creator><creator>Li, Xinwu</creator><creator>Zhang, Lu</creator><creator>Wu, Wenjin</creator><creator>Liu, Huiying</creator><creator>Wang, Kai</creator><creator>Li, Zhuo</creator><creator>Gu, Xinwei</creator><creator>Hu, Qingrong</creator><creator>Wang, Xinmin</creator><creator>Li, Jun</creator><creator>Han, Chunming</creator><creator>Zhu, Junjie</creator><creator>Shen, Guozhuang</creator><creator>Liu, Guang</creator><creator>Fu, Wenxue</creator><creator>Sun, Zhongchang</creator><creator>Wen, Xiaoyang</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis Group</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8596-8528</orcidid></search><sort><creationdate>20170703</creationdate><title>Research on SAR data integrated processing methodology oriented on earth environment factor inversions</title><author>Guo, Huadong ; Chen, Jie ; Li, Xinwu ; Zhang, Lu ; Wu, Wenjin ; Liu, Huiying ; Wang, Kai ; Li, Zhuo ; Gu, Xinwei ; Hu, Qingrong ; Wang, Xinmin ; Li, Jun ; Han, Chunming ; Zhu, Junjie ; Shen, Guozhuang ; Liu, Guang ; Fu, Wenxue ; Sun, Zhongchang ; Wen, Xiaoyang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-b3f92e866c74bccef21d3cde59ce72b24ade0456f1ba306f60d422d3f680915f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>building detection</topic><topic>Classification</topic><topic>Data analysis</topic><topic>Data processing</topic><topic>Disaster management</topic><topic>Earth environment</topic><topic>Exploration</topic><topic>Frameworks</topic><topic>Image processing</topic><topic>Imaging techniques</topic><topic>Information processing</topic><topic>Inversions</topic><topic>Lunar exploration</topic><topic>Methodology</topic><topic>Mitigation</topic><topic>mode and theoretical framework</topic><topic>Modes</topic><topic>Radar</topic><topic>Remote sensing</topic><topic>Resource exploration</topic><topic>SAR (radar)</topic><topic>SAR data integrated processing</topic><topic>Sea ice</topic><topic>sea ice classification</topic><topic>Synthetic aperture radar</topic><topic>Urban environments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Huadong</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><creatorcontrib>Li, Xinwu</creatorcontrib><creatorcontrib>Zhang, Lu</creatorcontrib><creatorcontrib>Wu, Wenjin</creatorcontrib><creatorcontrib>Liu, Huiying</creatorcontrib><creatorcontrib>Wang, Kai</creatorcontrib><creatorcontrib>Li, Zhuo</creatorcontrib><creatorcontrib>Gu, Xinwei</creatorcontrib><creatorcontrib>Hu, Qingrong</creatorcontrib><creatorcontrib>Wang, Xinmin</creatorcontrib><creatorcontrib>Li, Jun</creatorcontrib><creatorcontrib>Han, Chunming</creatorcontrib><creatorcontrib>Zhu, Junjie</creatorcontrib><creatorcontrib>Shen, Guozhuang</creatorcontrib><creatorcontrib>Liu, Guang</creatorcontrib><creatorcontrib>Fu, Wenxue</creatorcontrib><creatorcontrib>Sun, Zhongchang</creatorcontrib><creatorcontrib>Wen, Xiaoyang</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>International journal of digital earth</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Huadong</au><au>Chen, Jie</au><au>Li, Xinwu</au><au>Zhang, Lu</au><au>Wu, Wenjin</au><au>Liu, Huiying</au><au>Wang, Kai</au><au>Li, Zhuo</au><au>Gu, Xinwei</au><au>Hu, Qingrong</au><au>Wang, Xinmin</au><au>Li, Jun</au><au>Han, Chunming</au><au>Zhu, Junjie</au><au>Shen, Guozhuang</au><au>Liu, Guang</au><au>Fu, Wenxue</au><au>Sun, Zhongchang</au><au>Wen, Xiaoyang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on SAR data integrated processing methodology oriented on earth environment factor inversions</atitle><jtitle>International journal of digital earth</jtitle><date>2017-07-03</date><risdate>2017</risdate><volume>10</volume><issue>7</issue><spage>657</spage><epage>674</epage><pages>657-674</pages><issn>1753-8947</issn><eissn>1753-8955</eissn><abstract>As an important advanced technique in the field of Earth observations, Synthetic Aperture Radar (SAR) plays a key role in the study of global environmental change, resources exploration, disaster mitigation, urban environments, and even lunar exploration. However, studies on imaging, image processing, and Earth factor inversions have often been conducted independently for a long time, which significantly limits the application effectiveness of SAR remote sensing due to the lack of an overall integrated design scheme and integrated information processing. Focusing on this SAR application issue, this paper proposes and describes a new SAR data processing methodology - SAR data integrated processing (DIP) oriented on Earth environment factor inversions. The simple definition, typical integrated modes and overall implementation ideas are introduced. Finally, focusing on building information extraction (man-made targets) and sea ice classification (natural targets) applications, three SAR DIP methods and experiments are conducted. Improved results are obtained under the guidance of the SAR DIP framework. Therefore, the SAR DIP theoretical framework and methodology represent a new SAR science application mode that has the capability to improve the SAR remote sensing quantitative application level and promote the development of new theories and methodologies.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/17538947.2016.1275831</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0001-8596-8528</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | International journal of digital earth, 2017-07, Vol.10 (7), p.657-674 |
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| subjects | building detection Classification Data analysis Data processing Disaster management Earth environment Exploration Frameworks Image processing Imaging techniques Information processing Inversions Lunar exploration Methodology Mitigation mode and theoretical framework Modes Radar Remote sensing Resource exploration SAR (radar) SAR data integrated processing Sea ice sea ice classification Synthetic aperture radar Urban environments |
| title | Research on SAR data integrated processing methodology oriented on earth environment factor inversions |
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