{"title":"基于形态技术的Sentinel-1A数据海洋表面特征提取","authors":"A. Pk, S. Lekshmi, M. N. A. Kumar, P. V. H. Kumar","doi":"10.37591/.V11I2.967","DOIUrl":null,"url":null,"abstract":"SAR (Synthetic Aperture Radar) imagery of the ocean surface obtained from remote sensing instruments is one of the prominent research areas. In this paper, detection of oceanic features from SAR using morphological technique is proposed. The detected surface features are presented in layered form. The main advantage of such representation is features can be easily enabled or disabled on SAR image. Algorithm is tested on Sentinel-1A dataset of ocean surface. Keywords: SAR Images, Surface Features, Layered information, Detection algorithm.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ocean Surface Features Extraction using Morphological Techniques from Sentinel-1A Data\",\"authors\":\"A. Pk, S. Lekshmi, M. N. A. Kumar, P. V. H. Kumar\",\"doi\":\"10.37591/.V11I2.967\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SAR (Synthetic Aperture Radar) imagery of the ocean surface obtained from remote sensing instruments is one of the prominent research areas. In this paper, detection of oceanic features from SAR using morphological technique is proposed. The detected surface features are presented in layered form. The main advantage of such representation is features can be easily enabled or disabled on SAR image. Algorithm is tested on Sentinel-1A dataset of ocean surface. Keywords: SAR Images, Surface Features, Layered information, Detection algorithm.\",\"PeriodicalId\":427440,\"journal\":{\"name\":\"Journal of Remote Sensing & GIS\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Remote Sensing & GIS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37591/.V11I2.967\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Remote Sensing & GIS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37591/.V11I2.967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ocean Surface Features Extraction using Morphological Techniques from Sentinel-1A Data
SAR (Synthetic Aperture Radar) imagery of the ocean surface obtained from remote sensing instruments is one of the prominent research areas. In this paper, detection of oceanic features from SAR using morphological technique is proposed. The detected surface features are presented in layered form. The main advantage of such representation is features can be easily enabled or disabled on SAR image. Algorithm is tested on Sentinel-1A dataset of ocean surface. Keywords: SAR Images, Surface Features, Layered information, Detection algorithm.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
