Suchergebnisse

The Chinese government attaches great importance to the development of remote sensing satellites and has now formed satellite series such as meteorological satellites, ocean satellites, resource satellites and environmental disaster reduction satellites. At the same time, many commercial space programs have been put forward or implemented in China in recent years. As the first commercial-oriented multi-means and high-resolution optical remote sensing satellite constellation in China, "Superview-1" satellite constellation is undoubtedly one of the outstanding representatives. In the implementation of digital orthophoto map project, how to deal with large data of remote sensing image in large area quickly and accurately is a difficult problem we are facing to be solved urgently. PCI geographic imaging accelerator (GXL) system plays an important role in the production of digital orthophoto image by virtue of its advantages in mass image processing. This paper briefly introduces the structure and advantages of "Superview-1" satellite constellation, introduces in detail the production process and the key technologies of "Superview-1" satellite constellation image by GXL system, and carries out research on computational efficiency comparison and production test by GXL system. In this paper, the advantages of this software system in the production of tremendous amount of satellite remote sensing image data are analyzed. At the same time, in the existing engineering practice, due to the limitation of current data scale and production mode, the software system still has some obscure shortcomings. Under the background of natural resources, the amount of remote sensing data will continue to increase substantially in the future. By analyzing these shortcomings, this paper combines the traditional production mode with the background of remote sensing data in the new era, and puts forward some reasonable and useful suggestions.

At present, social and economic development has entered a new era. The establishment of the Ministry of Natural Resources has strengthened the functions of the natural resources department to provide the government and the public with standard, accurate, authoritative and reliable geomatics data recognized by various sectors, and has also put forward higher requirements for the quality of geomatics data. The definition of some elements in the geomatics standards is ambiguous or even contradictory, which interferes with the work level of production personnel, affects the ability of quality inspectors to determine quality problems accurately and efficiently, reduces the consistency of geographic information data, and limits the promotion and use of the products. The fundamental way to solve this problem is to unify the understanding of products, quality inspection and application, to comprehensively consider different scales, different terrain types and different types of results, and to define geomatics elements precisely, clearly and uniformly so that practitioners in different links can reach a consensus and have no ambiguity in the understanding of the elements. This work is not only conducive to reducing friction among products, quality inspection and application, but also the basis for realizing the co-construction and sharing of geographic information data among various sectors.

At present, social and economic development has entered a new era. The establishment of the Ministry of Natural Resources has strengthened the functions of the natural resources department to provide the government and the public with standard, accurate, authoritative and reliable geomatics data recognized by various sectors, and has also put forward higher requirements for the quality of geomatics data. The definition of some elements in the geomatics standards is ambiguous or even contradictory, which interferes with the work level of production personnel, affects the ability of quality inspectors to determine quality problems accurately and efficiently, reduces the consistency of geographic information data, and limits the promotion and use of the products. The fundamental way to solve this problem is to unify the understanding of products, quality inspection and application, to comprehensively consider different scales, different terrain types and different types of results, and to define geomatics elements precisely, clearly and uniformly so that practitioners in different links can reach a consensus and have no ambiguity in the understanding of the elements. This work is not only conducive to reducing friction among products, quality inspection and application, but also the basis for realizing the co-construction and sharing of geographic information data among various sectors.

The Chinese government attaches great importance to the development of remote sensing satellites and has now formed satellite series such as meteorological satellites, ocean satellites, resource satellites and environmental disaster reduction satellites. At the same time, many commercial space programs have been put forward or implemented in China in recent years. As the first commercial-oriented multi-means and high-resolution optical remote sensing satellite constellation in China, "Superview-1" satellite constellation is undoubtedly one of the outstanding representatives. In the implementation of digital orthophoto map project, how to deal with large data of remote sensing image in large area quickly and accurately is a difficult problem we are facing to be solved urgently. PCI geographic imaging accelerator (GXL) system plays an important role in the production of digital orthophoto image by virtue of its advantages in mass image processing. This paper briefly introduces the structure and advantages of "Superview-1" satellite constellation, introduces in detail the production process and the key technologies of "Superview-1" satellite constellation image by GXL system, and carries out research on computational efficiency comparison and production test by GXL system. In this paper, the advantages of this software system in the production of tremendous amount of satellite remote sensing image data are analyzed. At the same time, in the existing engineering practice, due to the limitation of current data scale and production mode, the software system still has some obscure shortcomings. Under the background of natural resources, the amount of remote sensing data will continue to increase substantially in the future. By analyzing these shortcomings, this paper combines the traditional production mode with the background of remote sensing data in the new era, and puts forward some reasonable and useful suggestions.