Remote sensing image classification method, image processing equipment and computer readable storage device

A technology of remote sensing images and classification methods, which is applied to computer components, calculations, character and pattern recognition, etc., can solve the problems of influence, human-computer interaction selection sample workload increase, etc., to reduce human-computer interaction, reduce human error, The effect of improving accuracy
CN111401467APending Publication Date: 2020-07-10遥相科技发展(北京)有限公司

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
遥相科技发展(北京)有限公司
Publication Date
2020-07-10

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Abstract

The invention discloses a remote sensing image classification method, image processing equipment and a computer readable storage device. The remote sensing image classification method comprises the steps: performing first cutting on a to-be-processed remote sensing image to obtain a first image; obtaining a first classification sample generated after the user performs first classification on at least a part of the first image, and inputting the first classification sample and the first image into a first supervised classifier to obtain a first classification result; performing second cutting on the to-be-processed remote sensing image to obtain a first patch; obtaining a second classification sample according to the first classification result and the first patch, and inputting the secondclassification sample and the to-be-processed remote sensing image into a second supervised classifier to obtain a second classification result; and obtaining a final classification result of the to-be-processed remote sensing image according to the second classification result. Through the above mode, the method can effectively improve the precision of a land utilization classification result.
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Description

technical field

[0001] The invention relates to the technical field of remote sensing image processing, in particular to a remote sensing image classification method, image processing equipment and a computer-readable storage device. Background technique

[0002] In the actual engineering project of land use classification, in order to achieve high accuracy of classification results, improving the sample accuracy in supervised classification is currently a feasible means. High-quality samples will increase the accuracy of the final classification results. However, in the actual production process, since the selection of samples is a process of human-computer interaction, a large number of samples need to be selected for large-scale production, which will result in increased workload of human-computer interaction and low work efficiency.

[0003] For large-scale classification, it is necessary to increase the number of samples and evenly distribute samples to meet the requir...

Claims

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