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This study presents a novel method for urban change detection using TerraSAR images, enhancing accuracy by combining the difference method and coherence coefficient.
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jestr_research_article_urban_change_detection is a scholarly article focused on methods and technologies for detecting changes in urban environments, often utilizing data from remote sensing and geographic information systems.
Researchers, urban planners, and professionals involved in urban studies and related fields are required to file jestr_research_article_urban_change_detection when submitting their research for publication.
To fill out jestr_research_article_urban_change_detection, authors should follow the specific formatting guidelines provided by the journal, including sections for the abstract, introduction, methodology, results, discussion, and references.
The purpose of jestr_research_article_urban_change_detection is to advance knowledge in urban change detection by presenting research findings, methodologies, and case studies that contribute to the understanding and monitoring of urban development.
Information to be reported includes the authors' findings, methodologies used for change detection, results, case studies, and any relevant data sets or tools employed during the research.
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