文献类型：会议论文

英文题名：AN OIL SLICK DETECTION INDEX BASED ON LANDSAT 8 REMOTE SENSING IMAGES

作者：Zhao, Dong[1];Cheng, Xinwen[1];Zhang, Hongping[1,2];Zhang, Haitao[3]

第一作者：Zhao, Dong

通讯作者：Cheng, XW[1]

机构：[1]China Univ Geosci, Fac Informat Engn, Wuhan, Hubei, Peoples R China;[2]Wuhan Univ Engn Sci, Wuhan, Hubei, Peoples R China;[3]Henan Univ Econ & Law, Coll Resources & Environm, Zhengzhou, Henan, Peoples R China

第一机构：China Univ Geosci, Fac Informat Engn, Wuhan, Hubei, Peoples R China

通讯机构：[1]corresponding author), China Univ Geosci, Fac Informat Engn, Wuhan, Hubei, Peoples R China.

会议论文集：International Workshop on Big Geospatial Data and Data Science (BGDDS)

会议日期：SEP 22-23, 2018

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：Landsat 8 OLI; oil slicks; detection index

摘要：It is important to detect oil slicks from the sea. Compared to traditional multispectral imager, such as MODIS, MERIS, and AVHRR, operational land imager (OLI) on Landsat 8 satellite is more suitable for detecting floating oil slicks for its high signal-noise ratio. However, traditional detection indices were not generic for oil slicks from different sources in different seas using OLI images. To precisely detect them, this paper proposed an index, named Landsat 8 oil slick detection index (L8OSDI), to identify oil slicks using Landsat 8 OIL images. Three images of different sea areas with oil slicks from different sources were used to test the applicability and superiority of L8OSDI. The experimental results indicated that the proposed index was applicable for detecting oil slicks from different sources in different sea areas, especially for oil slicks formed by oil exploration and natural seepage.