{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T16:51:09Z","timestamp":1774630269694,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2017,3,9]],"date-time":"2017-03-09T00:00:00Z","timestamp":1489017600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National 973 Plan of China","award":["2012CB719903"],"award-info":[{"award-number":["2012CB719903"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41401402"],"award-info":[{"award-number":["41401402"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41301453"],"award-info":[{"award-number":["41301453"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51479215"],"award-info":[{"award-number":["51479215"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Hunan Province in China","award":["2015JJ3150"],"award-info":[{"award-number":["2015JJ3150"]}]},{"name":"Geographical Conditions Monitoring Project of Hunan Province in China","award":["HNGQJC201503"],"award-info":[{"award-number":["HNGQJC201503"]}]},{"name":"Open Research Fund Program of Key Laboratory of Earth Observation, State Bureau of Surveying and Mapping","award":["K201504"],"award-info":[{"award-number":["K201504"]}]},{"name":"Major Project of High Resolution Earth Observation System of China (Civil Part)","award":["03-Y20A11-9001-15\/16"],"award-info":[{"award-number":["03-Y20A11-9001-15\/16"]}]},{"name":"Demonstration System of High-Resolution Remote Sensing Application in Surveying and Mapping of China","award":["AH1601-8"],"award-info":[{"award-number":["AH1601-8"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>An object-based method is proposed in this paper for change detection in urban areas with multi-sensor multispectral (MS) images. The co-registered bi-temporal images are resampled to match each other. By mapping the segmentation of one image to the other, a change map is generated by characterizing the change probability of image objects based on the proposed change feature analysis. The map is then used to separate the changes from unchanged areas by two threshold selection methods and k-means clustering (k = 2). In order to consider the multi-scale characteristics of ground objects, multi-scale fusion is implemented. The experimental results obtained with QuickBird and IKONOS images show the superiority of the proposed method in detecting urban changes in multi-sensor MS images.<\/jats:p>","DOI":"10.3390\/rs9030252","type":"journal-article","created":{"date-parts":[[2017,3,9]],"date-time":"2017-03-09T11:12:17Z","timestamp":1489057937000},"page":"252","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Urban Change Analysis with Multi-Sensor Multispectral Imagery"],"prefix":"10.3390","volume":"9","author":[{"given":"Yuqi","family":"Tang","sequence":"first","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"},{"name":"Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Central South University), Ministry of Education, Changsha 410083, China"}]},{"given":"Liangpei","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"}]}],"member":"1968","published-online":{"date-parts":[[2017,3,9]]},"reference":[{"key":"ref_1","unstructured":"Ingram, K., Knapp, E., and Robinson, J.W. 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