Remote sensing information sample selection method and system

A sample and remote sensing technology, applied in the computer field, can solve the problems of long sample selection time and low accuracy, and achieve the effect of improving sample selection efficiency and accuracy reliability.

A sample and remote sensing technology, applied in the computer field, can solve the problems of long sample selection time and low accuracy, and achieve the effect of improving sample selection efficiency and accuracy reliability.

CN114220018APending Publication Date: 2022-03-22AEROSPACE INFORMATION RES INST CAS

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  • Remote sensing information sample selection method and system
  • Remote sensing information sample selection method and system
  • Remote sensing information sample selection method and system

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Embodiment Construction

[0024] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0025] A large amount of sample data is a necessary input condition for artificial intelligence image recognition in various fields. Sample annotation is a work that requires a lot of time investment and long-term accumulation. With the rapid development of artificial intelligence in recent years, in major application fields such as medicine, autonomous driving, and face recognition, a large...

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Abstract

The invention provides a remote sensing information sample selection method and system. The method comprises the following steps: acquiring a high-spatial-resolution fine correction satellite image, high-temporal-resolution vegetation index cube data and a sampling area map; acquiring a plurality of image areas in the sampling area map, wherein the image areas comprise a first image area and a second image area; obtaining a reference sample point and an identification tag corresponding to the reference sample point; and classifying the second image area based on a classification model, the classification model being obtained after training based on the reference sample point and an identification tag corresponding to the reference sample point, and the identification tag being predetermined according to the sample type. According to the remote sensing information sample selection method and system provided by the invention, the precision and reliability of sample selection and the sample selection efficiency can be improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for selecting remote sensing information samples. Background technique [0002] At present, in the field of remote sensing and earth observation intelligent recognition, due to the extreme complexity and regional heterogeneity of the earth's surface, there is no general classification sample library of land cover types. Practitioners and researchers of remote sensing and earth observation intelligent identification need to build a sufficient and reliable sample library for specific research objectives before conducting intelligent identification research. The general approach is to use sub-meter-level high-spatial-resolution images with high recognition of the surface, and it will take a long time for professionals with rich experience in remote sensing interpretation to carry out sample selection. [0003] Moreover, in the process of manually selecting sam...

Claims

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Application Information

Patent Timeline
22 Mar 2022
Publication
CN114220018A
IPC
G06V20/13; G06V10/764; G06K9/62
CPC
G06F18/241
Inventors
温庆可; 张承康