Application of soft computing techniques in coastal study–A review

作     者：G.S.Dwarakish B.Nithyapriya 

作者机构：National Institute of Technology KarnatakaSurathkalIndia 

出 版 物：《Journal of Ocean Engineering and Science》 (海洋工程与科学（英文）)

年 卷 期：2016年第1卷第4期

页      面：247-255页

核心收录：

学科分类：0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0908[农学-水产] 0707[理学-海洋科学] 08[工学] 0815[工学-水利工程] 0824[工学-船舶与海洋工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Artificial neural network Coastal inundation Remote sensing Shoreline Soft computing Support vector machine 

摘      要：Coastal zone is the triple interface of air,water and land and it is so dynamic in nature which requires expeditious management for its *** change in shoreline and submergence of low lying areas due to sea level rise are the solemn issues that need to be *** coastline of about 7516 km is under threat due to global warming and related human *** sensing data products provide synoptic and repetitive view of the earth in various spatial,spectral,temporal and radiometric ***,it can be used in monitoring coastal areas on a temporal *** Erosion hotspots have to be given proper protection measures to avoid further *** images serve in delineating shoreline and extracting the hotspots to plan the mitigation *** inundation maps can be created using remote sensing and geospatial technologies by assuming different sea level *** maps can serve as a base for planning management *** computing techniques like Fuzzy Logic,Artificial Neural Network,Genetic Algorithm and Support Vector Machine are upcoming soft computing algorithms that find its application in classification,regression,pattern recognition,etc.,across multi-disciplinary *** can be used in classifying remote sensing images which in turn can be used for studying the coastal *** present paper reviews the works carried out for coastal study using conventional remote sensing techniques and the pertinency of soft computing techniques for the same.