With the continuous development of earth observing technology of China, Remote sensing image data has characteristics of large volume, multisource, multi-type and multi-resolution, finding a way to store, manage, and publish the data is a big challenges. This paper proposes a massive Remote sensing tile data organization and management strategy based on spatial database, design a data distribution and node management strategy to solve the massive remote sensing data organization and management problem
With the rapid development of high-resolution earth observation systems, the data processing, algori...
Abstract. The spatial data presented several characteristics of mass, multiple, isomerism and multip...
Remote sensing data acquisition is one of the most essential processes in the field of Earth observa...
With the rapid development of remote sensing technology, spatial information is exploding. For curre...
Aiming at the storage and management problems of massive remote sensing data, this paper gives a com...
Since Landsat-1 first started to deliver volumes of pixels in 1972, the volumes of archived data in ...
Owing to the rapid development of earth observation technology, the volume of spatial information is...
Since the traditional approaches of managing remote sensing image data could no longer deal with the...
With the development of remote sensing technology, especially the improvement of sensor resolution, ...
At present, there are various data grids to organize data in different department data centers. Inor...
In the project of China's First National Geographic Conditions Census, millions of sample data have ...
With the number of satellite sensors and date centers being increased continuously, it is becoming a...
Digital orthophoto maps have great advantages of high precision, plentiful information, fine intuiti...
With the rapid development of remote sensing and computer technologies, remote sensing image data ob...
To meet the increasing demand of national spatial database infrastructure construction and applicati...
With the rapid development of high-resolution earth observation systems, the data processing, algori...
Abstract. The spatial data presented several characteristics of mass, multiple, isomerism and multip...
Remote sensing data acquisition is one of the most essential processes in the field of Earth observa...
With the rapid development of remote sensing technology, spatial information is exploding. For curre...
Aiming at the storage and management problems of massive remote sensing data, this paper gives a com...
Since Landsat-1 first started to deliver volumes of pixels in 1972, the volumes of archived data in ...
Owing to the rapid development of earth observation technology, the volume of spatial information is...
Since the traditional approaches of managing remote sensing image data could no longer deal with the...
With the development of remote sensing technology, especially the improvement of sensor resolution, ...
At present, there are various data grids to organize data in different department data centers. Inor...
In the project of China's First National Geographic Conditions Census, millions of sample data have ...
With the number of satellite sensors and date centers being increased continuously, it is becoming a...
Digital orthophoto maps have great advantages of high precision, plentiful information, fine intuiti...
With the rapid development of remote sensing and computer technologies, remote sensing image data ob...
To meet the increasing demand of national spatial database infrastructure construction and applicati...
With the rapid development of high-resolution earth observation systems, the data processing, algori...
Abstract. The spatial data presented several characteristics of mass, multiple, isomerism and multip...
Remote sensing data acquisition is one of the most essential processes in the field of Earth observa...