云计算
计算机科学
地理空间分析
上传
数据科学
大数据
工具箱
地球观测
多样性(控制论)
可扩展性
软件
分布式计算
遥感
数据库
人工智能
万维网
数据挖掘
工程类
地质学
操作系统
航空航天工程
程序设计语言
卫星
作者
Hao Xu,Yuanbin Man,Mingyang Yang,Jichao Wu,Qi Zhang,Jing Wang
出处
期刊:Cornell University - arXiv
日期:2023-01-01
被引量:3
标识
DOI:10.48550/arxiv.2312.16385
摘要
The rapid accumulation of Earth observation data presents a formidable challenge for the processing capabilities of traditional remote sensing desktop software, particularly when it comes to analyzing expansive geographical areas and prolonged temporal sequences. Cloud computing has emerged as a transformative solution, surmounting the barriers traditionally associated with the management and computation of voluminous datasets. This paper introduces the Analytical Insight of Earth (AI Earth), an innovative remote sensing intelligent computing cloud platform, powered by the robust Alibaba Cloud infrastructure. AI Earth provides an extensive collection of publicly available remote sensing datasets, along with a suite of computational tools powered by a high-performance computing engine. Furthermore, it provides a variety of classic deep learning (DL) models and a novel remote sensing large vision segmentation model tailored to different recognition tasks. The platform enables users to upload their unique samples for model training and to deploy third-party models, thereby increasing the accessibility and openness of DL applications. This platform will facilitate researchers in leveraging remote sensing data for large-scale applied research in areas such as resources, environment, ecology, and climate.
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