An intelligent information extraction method and system based on remote sensing image

Abstract

The invention relates to an intelligent information extraction method and system based on remote sensing image. Firstly, the remote sensing big data GPU computing cluster based on Hadoop is constructed, then the decompression of remote sensing image is designed, high-precision cloud detection, panchromatic multispectral image automatic fusion, RPC image correction, intelligent information extraction method and process for intelligent extraction of ground object information and vectorization of geographic element information, in which the intelligent information extraction platform adopts Caffedeep learning framework, a high-precision cloud mask product of remote sensing image can be obtained through the above process, panchromatic multi-spectral band fusion products, RPC ortho correctionproducts, intelligent extraction products of ground object information and geographic element information vectorization products realize the goal of automatically converting 1A-level original remote sensing images into 2A-level products, which greatly shortens the time from satellite standard data products to information products.

Description

technical field [0001] The invention relates to an intelligent information extraction method and system based on remote sensing images, belonging to the intersecting field of remote sensing image processing and computer system architecture design. Background technique [0002] Remote sensing images have the characteristics of high spatial, high temporal, and high spectral resolution, and can efficiently monitor ground object information in a large range and with high precision from high altitude. With the rapid development of remote sensing technology and computer technology, the resolution of remote sensing images is getting higher and higher, and the amount of data is also increasing. The design of new methods for intelligent information extraction based on remote sensing images also came into being. [0003] At present, the methods and process design for extracting feature information from remote sensing images are mostly based on a single-machine processing platform and...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is: in order to solve the problem of low accuracy and low processing efficiency of ground feature information extraction of massive remote sensing big data, the present invention provides an intelligent information extraction method and system based on remote sensing images, which can not only automatically analyze and process satellite The downloaded remote sensing images can reduce manual operations, improve the efficiency of the processing process, and improve the accuracy of feature information extraction from large-scale and massive remote sensing data.

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