{"title":"Automatic Determination, Feature-extraction, and Classification of Tidal-courses through Remote-sensing Images: Preliminary Studies","authors":"M. P. Cipolletti, C. Delrieux, G. Perillo","doi":"10.1109/RPIC53795.2021.9648432","DOIUrl":null,"url":null,"abstract":"Unlike rivers, tidal-paths present different drainage configurations within their complex distribution. The determinations of their features is the first step towards modeling their evolution. In this work, a methodology is presented for automatic morphometric extraction and characterization of tidal-paths over high resolution satellite images (IKONOS, 1 m resolution). The algorithm accurately computes the total length of the structure. In addition, it identifies and characterizes each branch by super-resolution. Then, the drainage paths without loops are classified defining the order in which they flood and ebb by effect of the tides. The method was tested on two tidal-paths with very different features: a rectangular or trellis drainage, and a dendritic one.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XIX Workshop on Information Processing and Control (RPIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RPIC53795.2021.9648432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Unlike rivers, tidal-paths present different drainage configurations within their complex distribution. The determinations of their features is the first step towards modeling their evolution. In this work, a methodology is presented for automatic morphometric extraction and characterization of tidal-paths over high resolution satellite images (IKONOS, 1 m resolution). The algorithm accurately computes the total length of the structure. In addition, it identifies and characterizes each branch by super-resolution. Then, the drainage paths without loops are classified defining the order in which they flood and ebb by effect of the tides. The method was tested on two tidal-paths with very different features: a rectangular or trellis drainage, and a dendritic one.