Multistage organizing and indexing method oriented to massive remote sensing images

Abstract

A multistage organizing and indexing method oriented to massive remote sensing images comprises the following steps that A, wide image grid data is acquired and preprocessed; B, a cache pyramid of disk space is built, a two-stage indexing structure of a quadtree is divided through a scene pyramid and sub-scene rule, and ID and an attribute database are connected; C, a data recognizing mode is combined, attribute data bearing is achieved, partitioning recognizing is carried out, and multistage storage and index building are completed in a HBase database; D, a storage pool integrating virtualization, expansibility and sharing capacity is used for distributing resources according to needs at any time and in any place.

Description

technical field [0001] The invention relates to the field of remote sensing image data processing, in particular to a multi-level organization and indexing method for massive remote sensing images. Background technique [0002] In recent years, my country has obtained a large amount of remote sensing image data. The platforms cover satellite platforms, drones, etc., and the resolution ranges from meters to centimeters. The data has the characteristics of high resolution, large changes in imaging width, large amount of image data, and diverse imaging modes, making these data available for more refined target judgment, wider information acquisition, and more diverse intelligence generation. According to the combination of various parameters such as target type, image sensor type, time stage, and matching degree, relevant remote sensing images are obtained, and relevant objects and targets are obtained according to different attributes such as target-related time, location, and...

AI Technical Summary

Problems solved by technology

However, there are certain defects in obtaining remote sensing image data by the standard file access method. The data volume of a single remote sensing image is relatively large, and the I / O capability of the storage system and the network bandwidth limit the file access speed, causing these software to read And the time delay of displaying a product image is quite large, which seriously limits the efficiency and reliability of later applications

[0005] In addition, the existing index link analysis algorithm, such as hyperlink analysis represented by Google's PageRank, cannot understand the content, so it cannot be personalized

The domestic indexing method based on the directory structure directly indexes according to the classified categories, but cannot satisfy the document indexing with a specific information

The document index method based on the query string can more accurately find the text information required by the user, but because the remote sensing data has more dimensions, is more complex, and the data volume is larger, these indexing mechanisms cannot adapt to massive multi-source multi-attribute data Efficient access to

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