{"title":"基于多时相SAR图像的belumtemengor林区变化自动检测","authors":"A. Thayalan, F. S. Abas, V. Koo","doi":"10.1109/ICSIPA.2009.5478668","DOIUrl":null,"url":null,"abstract":"Two C-band RADARSAT synthetic aperture radar (SAR) images are used to automatically detect changes that occured in between year 2004 and 2008 due to extensive deforestation, at Gadong River area of Belum-Temengor, Northern region of West Malaysia. Changes are detected by automatically finding the best threshold value of the standard log-ratio image that is derived from the two multitemporal SAR images. Minimum error thresholding is performed using relative entropy method. The result is validated using the difference of two Normalised Difference Vegetation Index (NDVI) images generated from two SPOT-5 images.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automatic change detection of Belum-Temengor forested area using multitemporal SAR images\",\"authors\":\"A. Thayalan, F. S. Abas, V. Koo\",\"doi\":\"10.1109/ICSIPA.2009.5478668\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two C-band RADARSAT synthetic aperture radar (SAR) images are used to automatically detect changes that occured in between year 2004 and 2008 due to extensive deforestation, at Gadong River area of Belum-Temengor, Northern region of West Malaysia. Changes are detected by automatically finding the best threshold value of the standard log-ratio image that is derived from the two multitemporal SAR images. Minimum error thresholding is performed using relative entropy method. The result is validated using the difference of two Normalised Difference Vegetation Index (NDVI) images generated from two SPOT-5 images.\",\"PeriodicalId\":400165,\"journal\":{\"name\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIPA.2009.5478668\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Signal and Image Processing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2009.5478668","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic change detection of Belum-Temengor forested area using multitemporal SAR images
Two C-band RADARSAT synthetic aperture radar (SAR) images are used to automatically detect changes that occured in between year 2004 and 2008 due to extensive deforestation, at Gadong River area of Belum-Temengor, Northern region of West Malaysia. Changes are detected by automatically finding the best threshold value of the standard log-ratio image that is derived from the two multitemporal SAR images. Minimum error thresholding is performed using relative entropy method. The result is validated using the difference of two Normalised Difference Vegetation Index (NDVI) images generated from two SPOT-5 images.
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