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.
CN114220018APending Publication Date: 2022-03-22AEROSPACE INFORMATION RES INST CAS
0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
AEROSPACE INFORMATION RES INST CAS
Publication Date
2022-03-22

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More