Aquaculture area extraction and vulnerability assessment in Sanduao based on richer convolutional features network model

作     者：LIU Yueming YANG Xiaomei WANG Zhihua LU Chen LI Zhi YANG Fengshuo 

作者机构：State Key Laboratory of Resources and Environmental Information SystemInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China State Key Laboratory of Desert and Oasis EcologyXinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China University of Chinese Academy of SciencesBeijing 100049China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and ApplicationNanjing 210023China 

出 版 物：《Journal of Oceanology and Limnology》 (海洋湖沼学报（英文）)

年 卷 期：2019年第37卷第6期

页      面：1941-1954页

核心收录：

学科分类：0710[理学-生物学] 0908[农学-水产] 07[理学] 0707[理学-海洋科学] 0815[工学-水利工程] 

基　　金：Supported by the National Key Research and Development Program of China(No.2016YFC1402003) the National Natural Science Foundation of China(No.41671436) the Innovation Project of LREIS(No.O88RAA01YA) 

主　　题：aquaculture area vulnerability assessment Richer Convolutional Features(RCF)network model deep learning high-resolution remote sensing 

摘      要：Sanduao is an important sea-breeding bay in Fujian,South China and holds a high economic status in *** and accurately obtaining information including the distribution area,quantity,and aquaculture area is important for breeding area planning,production value estimation,ecological survey,and storm surge ***,as the aquaculture area expands,the seawater background becomes increasingly complex and spectral characteristics differ dramatically,making it difficult to determine the aquaculture *** this study,we used a high-resolution remote-sensing satellite GF-2 image to introduce a deep-learning Richer Convolutional Features(RCF)network model to extract the aquaculture *** we used the density of aquaculture as an assessment index to assess the vulnerability of aquaculture areas in *** results demonstrate that this method does not require land and water separation of the area in advance,and good extraction can be achieved in the areas with more sediment and waves,with an extraction accuracy93%,which is suitable for large-scale aquaculture area *** assessment results indicate that the density of aquaculture in the eastern part of Sanduao is considerably high,reaching a higher vulnerability level than other parts.