Z. Ding, Ni Qi, Fang Dong, Liang Jinhui, Yao Wei, Yuan Shenggui
{"title":"多光谱遥感技术在地表水水体提取中的应用","authors":"Z. Ding, Ni Qi, Fang Dong, Liang Jinhui, Yao Wei, Yuan Shenggui","doi":"10.1109/ICALIP.2016.7846565","DOIUrl":null,"url":null,"abstract":"This paper addresses an improved water-body extraction method by the multispectral remote sensing image of four-bands. Firstly, traditional multispectral water body extraction technologies are reviewed, and their features are compared. It shows that finding the most difference of the reflection ratio of the water body and the background is the core to improve the identification rate. Furthermore, combing data's feature of GF-01 and GF-02 satellites, an improved normalization index method by introducing the weighted average of the blue and green light bands was proposed. Finally, the comparative results illustrating the improvement of water body extraction are provided and analyzed.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Application of multispectral remote sensing technology in surface water body extraction\",\"authors\":\"Z. Ding, Ni Qi, Fang Dong, Liang Jinhui, Yao Wei, Yuan Shenggui\",\"doi\":\"10.1109/ICALIP.2016.7846565\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses an improved water-body extraction method by the multispectral remote sensing image of four-bands. Firstly, traditional multispectral water body extraction technologies are reviewed, and their features are compared. It shows that finding the most difference of the reflection ratio of the water body and the background is the core to improve the identification rate. Furthermore, combing data's feature of GF-01 and GF-02 satellites, an improved normalization index method by introducing the weighted average of the blue and green light bands was proposed. Finally, the comparative results illustrating the improvement of water body extraction are provided and analyzed.\",\"PeriodicalId\":184170,\"journal\":{\"name\":\"2016 International Conference on Audio, Language and Image Processing (ICALIP)\",\"volume\":\"107 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Audio, Language and Image Processing (ICALIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALIP.2016.7846565\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALIP.2016.7846565","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of multispectral remote sensing technology in surface water body extraction
This paper addresses an improved water-body extraction method by the multispectral remote sensing image of four-bands. Firstly, traditional multispectral water body extraction technologies are reviewed, and their features are compared. It shows that finding the most difference of the reflection ratio of the water body and the background is the core to improve the identification rate. Furthermore, combing data's feature of GF-01 and GF-02 satellites, an improved normalization index method by introducing the weighted average of the blue and green light bands was proposed. Finally, the comparative results illustrating the improvement of water body extraction are provided and analyzed.