Amira Echtioui, O. B. Sassi, Lamia Sellami, A. Hamida
{"title":"基于源分离的多日期卫星图像变化检测改进","authors":"Amira Echtioui, O. B. Sassi, Lamia Sellami, A. Hamida","doi":"10.1109/MMS48040.2019.9157311","DOIUrl":null,"url":null,"abstract":"The development of satellites with the strong temporal repetitiveness and development of remote sensing techniques resulted in the advancement of change detection techniques from geospatial imagery. The natural events cause many modifications in the control process of the ecosystems. There is a necessity of using a method capable to map, categorize and monitor areas affected by natural events along time. In this article, a novel methodology of change detection is proposed in order to improve the change detection from multi-date satellite image using the source separation. The results obtained by our methodology are efficient and effective.","PeriodicalId":373813,"journal":{"name":"2019 IEEE 19th Mediterranean Microwave Symposium (MMS)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Improvement of Change Detection from Multi-Date Satellite Images using the Source Separation\",\"authors\":\"Amira Echtioui, O. B. Sassi, Lamia Sellami, A. Hamida\",\"doi\":\"10.1109/MMS48040.2019.9157311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of satellites with the strong temporal repetitiveness and development of remote sensing techniques resulted in the advancement of change detection techniques from geospatial imagery. The natural events cause many modifications in the control process of the ecosystems. There is a necessity of using a method capable to map, categorize and monitor areas affected by natural events along time. In this article, a novel methodology of change detection is proposed in order to improve the change detection from multi-date satellite image using the source separation. The results obtained by our methodology are efficient and effective.\",\"PeriodicalId\":373813,\"journal\":{\"name\":\"2019 IEEE 19th Mediterranean Microwave Symposium (MMS)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 19th Mediterranean Microwave Symposium (MMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMS48040.2019.9157311\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 19th Mediterranean Microwave Symposium (MMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMS48040.2019.9157311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Improvement of Change Detection from Multi-Date Satellite Images using the Source Separation
The development of satellites with the strong temporal repetitiveness and development of remote sensing techniques resulted in the advancement of change detection techniques from geospatial imagery. The natural events cause many modifications in the control process of the ecosystems. There is a necessity of using a method capable to map, categorize and monitor areas affected by natural events along time. In this article, a novel methodology of change detection is proposed in order to improve the change detection from multi-date satellite image using the source separation. The results obtained by our methodology are efficient and effective.