Remote sensing data distribution method, device and management platform based on mosaic dataset

Abstract

The embodiment of the present application discloses a remote sensing data distribution method, device and management platform based on a mosaic dataset. The method includes: constructing a local database on a local device through a preset management platform; storage files of the original remote sensing images, and store the storage files into the local database; store the storage files in the local database into the preset system database through the management platform. Through the solution of this embodiment, the local database is added to cache and correct the data to be shared, so as to process the wrong data in advance, and effectively avoid data errors published to the system database.

Description

technical field [0001] This article relates to remote sensing data distribution technology, especially a remote sensing data distribution method, device and management platform based on mosaic datasets. Background technique [0002] The traditional management and release of remote sensing image data based on mosaic datasets is based on the way of "file server" + "system database" to manage remote sensing image data. All original remote sensing image data are stored in the file server. The basic information and index path of the original remote sensing image data to be shared in the file server are extracted and directly stored in the system database, so that other users can view their original remote sensing images through the information records in the system database. [0003] However, in the process of extracting and entering the original remote sensing image information into the system database, the following disadvantages may occur: First, the original image information...

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Problems solved by technology

[0003] However, in the process of extracting and entering the original remote sensing image information into the system database, the following disadvantages may occur: First, the original image information of a certain scene in the whole batch is missing, resulting in the remaining of all The extraction of the original remote sensing image information fails, and it is necessary to process the problem and then extract it again; second, the amount of batch remote sensing data is too large, resulting in a long extraction period for the basic information of the entire batch of remote sensing image, and then save it to the system data after the extraction is completed If an exception occurs during the process, the entire batch needs to be rectified, which requires a large amount of rectification and a lot of work; third, if there is an error in the data released to the system database in a single batch, it is impossible to conveniently determine the specific error entry, and it is inconvenient to correct the error data. For processing and tracing; Fourth, due to the large amount of data submitted at a time, it may cause the failure of submission and storage during the storage process; Fifth, the system database may crash due to operation errors, and the recovery cycle of the system database Long and large amount of recovered data

However, frequent operations on the server of the system database will not only impose a serious burden on user access links, the number of user links, memory, etc., and even cause server downtime in severe cases

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