论文
论文标题: RCSANet: A Full Convolutional Network for Extracting Inland Aquaculture Ponds from High-Spatial-Resolution Images
作者: Zeng, Zhe; Wang, Di; Tan, Wenxia; Yu, Gongliang; You, Jiacheng; Lv, Botao; Wu, Zhongheng
出版刊物: REMOTE SENSING
出版日期: JAN
出版年份: 2021
卷/期:
DOI: 10.3390/rs13010092
论文摘要: Numerous aquaculture ponds are intensively distributed around inland natural lakes and mixed with cropland, especially in areas with high population density in Asia. Information about the distribution of aquaculture ponds is essential for monitoring the impact of human activities on inland lakes. Accurate and efficient mapping of inland aquaculture ponds using high-spatial-resolution remote-sensing images is a challenging task because aquaculture ponds are mingled with other land cover types. Considering that aquaculture ponds have intertwining regular embankments and that these salient features are prominent at different scales, a Row-wise and Column-wise Self-Attention (RCSA) mechanism that adaptively exploits the identical directional dependency among pixels is proposed. Then a fully convolutional network (FCN) combined with the RCSA mechanism (RCSANet) is proposed for large-scale extraction of aquaculture ponds from high-spatial-resolution remote-sensing imagery. In addition, a fusion strategy is implemented using a water index and the RCSANet prediction to further improve extraction quality. Experiments on high-spatial-resolution images using pansharpened multispectral and 2 m panchromatic images show that the proposed methods gain at least 2-4% overall accuracy over other state-of-the-art methods regardless of regions and achieve an overall accuracy of 85% at Lake Hong region and 83% at Lake Liangzi region in aquaculture pond extraction.
== 实验室与学会 ==
  • == 实验室与学会 ==
  • 水产品种创制与高效养殖全国重点实验室
  • 中国科学院藻类生物学重点实验室
  • 农业部淡水养殖病害防治重点实验室
  • 武汉白暨豚保护基金会
  • 湖北省海洋湖沼学会
  • 中国动物学会原生动物学分会
  • 中国动物学会斑马鱼分会
  • 湖北省暨武汉动物学会
  • 中国水产学会鱼病学专业委员会
  • 中国鱼类学会
== 平台建设 ==
  • == 平台建设 ==
  • “一带一路”海域赤潮数据库
  • 国家水生生物种质资源库
  • 国家斑马鱼资源中心
  • 中国科学院淡水藻种库
  • 中国科学院武汉生命科学大型仪器区域中心
  • 湿地生态系统观测研究野外站联盟
  • 中国科学院水生生物研究所分析测试中心
  • 中国科学院超级计算武汉分中心
  • 水生生物博物馆
== 相关网站推荐 ==
  • == 相关网站推荐 ==
  • 中国科学院
  • 农业农村部
  • 科学技术部
  • 生态环境部
  • 国家自然科学基金委员会
  • 中国科学院武汉分院
  • 湖北省科学技术厅
  • 湖北省生态环境厅
  • 湖北省农业农村厅