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

LIU Yueming YANG Xiaomei WANG Zhihua LU Chen LI Zhi YANG Fengshuo

海洋湖沼学报（英文版）2019，Vol.37Issue(6)：1941-1954,14.

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

LIU Yueming ¹YANG Xiaomei ²WANG Zhihua ¹LU Chen ²LI Zhi ³YANG Fengshuo¹

作者信息

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
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摘要

关键词

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

Key words

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

引用本文复制引用

LIU Yueming,YANG Xiaomei,WANG Zhihua,LU Chen,LI Zhi,YANG Fengshuo..Aquaculture area extraction and vulnerability assessment in Sanduao based on richer convolutional features network model[J].海洋湖沼学报（英文版）,2019,37(6):1941-1954,14.

基金项目

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

海洋湖沼学报（英文版）

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ISSN：2096-5508

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