One-time full-coverage retrieval mode and method for remote sensing tile data

Abstract

The invention discloses a one-time full-coverage retrieval mode and method for remote sensing tile data. The method and the mode adopt a retrieval condition especially possessed by remote sensing tiles. Functions of one-time full-coverage automatic retrieval and distributed retrieval of target space data are offered. In combination with an artificial means, retrieval results of remote sensing tiledata are screened and an interaction interface is determined so as to retrieve and pick up a single tile grid timing sequence. As a result, a final result is picked up and confirmed. A one-time full-coverage remote-sensing tile dataset meeting a condition in a target region can be automatically, efficiently and rapidly retrieved from a large quantity of remote sensing tile data. Additionally, themethod features improvement on a conventional retrieval mode for remote sensing tile data and optimization of hand picking efficiency and operation process after retrieval of conventional data.

Description

technical field [0001] The technical solution of the invention belongs to the remote sensing application field. Background technique [0002] With the rapid development of satellite remote sensing technology, high-resolution image data is growing explosively, showing the characteristics of big data such as multi-source heterogeneity, multi-scale, multi-temporal, and global coverage. The application of remote sensing data based on tile mode has gradually become the trend of remote sensing data application due to the demand for spatial information extraction and high-speed service of large-scale remote sensing image data. However, the tiled application of remote sensing data has further aggravated the growth of data scale, which has brought great pressure on data retrieval. In the face of large-scale and massive remote sensing tile data, how to efficiently obtain target data has become a spatial information One of the urgent problems in the field of science. A full-coverage ...

AI Technical Summary

Problems solved by technology

In recent years, research related to remote sensing tile retrieval has mainly focused on parallelism and indexing on the data layer. There have been few studies on tile retrieval models. The retrieval method is based on retrieving all the data covered by multi-temporal phases at one time, and then manually selects the required data sets. It is feasible in the case of a limited number of remote sensing scenes, but in the context of massive remote sensing tile data, Not only the retrieval efficiency is extremely low, the operation is cumbersome, but also requires a lot of labor costs, etc.

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