论文标题
用于机器学习应用程序的自动数据集构建器到卫星图像
Automatic Dataset Builder for Machine Learning Applications to Satellite Imagery
论文作者
论文摘要
如今，机器学习（ML）算法的使用正在传播在遥感领域，其应用程序从检测和对土地使用和监测的分类到预测许多感兴趣的自然或人类现象。他们的就业的一个主要限制与为特定应用程序选择的大量数据培训神经网络以及收集必要数据所需的计算重量和时间有关。在这封信中提出了一种创新工具的架构，使研究人员能够以自动方式创建适合AI（人工智能）应用程序（地球观察）环境中的应用程序的数据集。已在Git-Hub上实现并提供了两个版本的体系结构，并提供了针对非专家用户的特定图形用户界面（GUI）。
Nowadays the use of Machine Learning (ML) algorithms is spreading in the field of Remote Sensing, with applications ranging from detection and classification of land use and monitoring to the prediction of many natural or anthropic phenomena of interest. One main limit of their employment is related to the need for a huge amount of data for training the neural network, chosen for the specific application, and the resulting computational weight and time required to collect the necessary data. In this letter the architecture of an innovative tool, enabling researchers to create in an automatic way suitable datasets for AI (Artificial Intelligence) applications in the EO (Earth Observation) context, is presented. Two versions of the architecture have been implemented and made available on Git-Hub, with a specific Graphical User Interface (GUI) for non-expert users.
