论文标题
使用Sentinel 2图像的贻贝平台的自动人口普查
Automatic Census of Mussel Platforms Using Sentinel 2 Images
论文作者
论文摘要
贻贝平台是由木材制成的大型浮动结构（通常约为20x20米甚至更大一点），用于水产养殖，ID：在适当的海水中种植贻贝。这些结构在加利西亚河口非常典型。很有趣的是生产这些结构的周期性普查，这些结构将使它们的数量和位置以及这些参数的变化变得更加有趣；获得周期性观察图像的卫星是此问题的自然选举。本文介绍了一个初步应用程序，可以使用Sentinel 2 Images（Copernicus Project）自动构建此类普查。哥白尼卫星由欧洲航天局（ESA）运行，生产的图像自由分布在互联网上。 Sentinel 2图像具有13个频带，每五天更新。在我们的应用程序中，我们使用遥感的（差异）索引和应用于多播放数据的人工神经网络。描述和测试了不同的方法。最后，提出结果。
Mussel platforms are big floating structures made of wood (size is normally about 20x20 meters or even a bit larger) that are used for aquaculture, id EST: growing mussels in appropriate marine waters. These structures are very typical in Galician estuaries. Being interesting to produce a periodic census of these structures that would allow knowing their number and positions, as well as changes on those parameters; Satellites that obtain periodic images for earth observation are a natural election for this issue. This paper describes a preliminary application able to construct automatically such a census using Sentinel 2 images (Copernicus Project). Copernicus satellites are run by European Space Agency (ESA) and the produced images are freely distributed on the internet. Sentinel 2 images have thirteen frequency bands and are updated each five days. In our application, we use remote sensing normalized (differential) indexes and artificial Neural Networks applied to multiband data. Different methods are described and tested. Finally, results are presented.
