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Ruisi Mathematical Intelligence "remote Sensing + AI" interprets the Natural Code in the whole scene

2025-01-15 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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Winding mountains, rivers, forests and seas, dotted with fields and rivers, crisscross block buildings. Today, it can be observed and analyzed like the pattern on the palm. This is another scientific and technological application achievement given to mankind by the combination of remote sensing technology and artificial intelligence.

At the second AI solution Competition of photosynthetic Organization, Ruisi's joint solution for intelligent interpretation of RS Matrix remote sensing images comprehensively demonstrated the application prospect of "remote sensing + AI" in the field of natural resources investigation and supervision, and further reflected the strong potential of domestic technology ecology, giving a new way for technology application to break through.

Technology Fusion iteration of remote Sensing + AI

Over the years, Ruisi Mathematical has focused on the research of "remote sensing + AI + cloud computing", creating a series of RS Matrix wise matrix products covering IAAS, PAAS and artificial intelligence industry applications. The purpose of this paper is to carry out integrated and omni-directional intelligent interpretation and processing of massive multi-source and heterogeneous remote sensing image data through the combination of remote sensing technology and artificial intelligence technology, so as to greatly shorten the period of remote sensing image interpretation and improve the accuracy and accuracy of interpretation.

Among them, RS Matrix remote sensing image intelligent interpretation platform, as a remote sensing image full-scene intelligent interpretation platform software based on deep learning algorithm, can complete intelligent processing such as multi-source remote sensing image feature classification, change detection and target recognition, and provide full-process intelligent interpretation services such as data storage, sample database construction, training interpretation and so on.

Since gradually docking with Haiguang product system in 2019, Ruisi Mathematical has further adapted and tuned the platform with Haiguang CPU chip and heterogeneous accelerator card, and successfully constructed the "Joint solution for Intelligent interpretation of RS Matrix remote Sensing Images", which won the second prize in the photosynthetic tissue AI solution Competition.

The scheme not only shows excellent training and reasoning performance, but also fully integrates remote sensing AI technology with the high versatility of Haiguang's domestic platform to create omni-directional support and services including computing power, data and models.

At the same time, facing the security needs of government and enterprise customers, Ruisi Mathematical Intelligence and Haiguang have also created software and hardware integration programs with Haiguang, including data storage, computing management, training and reasoning, to achieve the safety performance of national production.

In the field of data storage, Ruisi Mathematical Intelligence data storage platform is equipped with Haiguang storage server to realize data management application, which can be easily used without local storage; in the field of computing power management, Ruisi multiple computing cloud platform with Haiguang server + job terminal realizes the reasonable overall planning and scheduling of computing resources. In the aspect of training and reasoning, Ruisi Mathematical remote Sensing AI interpretation platform is adapted to Haiguang heterogeneous acceleration card, which can further accelerate the model training of deep learning and intelligent image interpretation.

Application Breakthrough under the Ecological support of Software and hardware

Gao Hongfeng, manager of Ruisi Mathematical Intelligence Marketing Department, believes that there are three reasons why this scheme can stand out among many contestants: first, it is technologically leading, based on the perfect combination and innovation of remote sensing technology and artificial intelligence, it further improves the efficiency and accuracy of traditional technology; second, the application of the scheme has a wide range of applications, and the future market prospect is considerable. Third, it has a high degree of fit with Haiguang hardware infrastructure, and the adaptation effect is very good, which further improves the technical performance of the product.

Powerful product technology, solid hardware base, and coordinated efforts on ecological resources have opened up a huge space for the application and development of Ruisi's "remote sensing + AI" technology.

Gao Hongfeng pointed out, "relying on the support of Haiguang's domestic hardware products and the resources of photosynthetic ecological partners, Ruisi Mathematical Intelligence can get multiple bonuses in terms of product performance and adaptive application capability. it is very conducive to the development of the company in the Xinchuang market."

In addition, with the photosynthetic organization as the traction, Ruisi Mathematical Intelligence has further deepened the depth of cooperation with Haiguang, but also accelerated the expansion of the ecological circle in the upper and lower reaches of the industrial chain, and has a more open vision of ecological coordinated development.

"the photosynthetic Organization AI solution Competition provides you with a good platform, which not only demonstrates the technical achievements of our products, but also further integrates the ecological forces of the industry. in the future, Ruishi hopes to continue to deepen ecological cooperation with ecological partners and create more perfect solutions for customers." Gao Hongfeng revealed that Ruisi Mathematical Intelligence has once again participated in the third competition and is currently actively preparing a new technical plan for the competition.

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