A remote sensing image processing method and system for land resources management

Abstract

The present invention relates to the technical field of image processing, and in particular to a remote sensing image processing method and system for land resource management. The method includes: marking the ground objects on the remote sensing image, and determining the sample points of the initial sample classification of the ground objects; Obtain the ground object spectrum curve corresponding to the ground object, and perform false color synthesis on the bands corresponding to the peak point, trough point, and maximum curvature point in the ground object spectrum curve to obtain a false color image; each band of the obtained false color image corresponds to the RGB channel False color band combination, according to the change consistency of similar sample points in different false color band combinations, reclassify the sample points to obtain intermediate sample points; determine the representative test vector according to the intermediate sample points; use the representative test vector as the parameter of the PPI algorithm The final sample point is determined, and the final sample classification is carried out on the remote sensing image according to the final sample point to obtain the classification result. The method of the invention improves the classification accuracy and reduces the occurrence of misclassification and omission.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a remote sensing image processing method and system for land resource management. Background technique [0002] The management of land resources is generally through the collection of remote sensing images by satellites, and the remote sensing images are used to reflect the land coverage and utilization, environmental monitoring, agricultural yield estimation, and forest fires. Therefore, the identification of land types in remote sensing images is an essential part. Only by accurately classifying land types can the corresponding land resources be managed accurately from remote sensing images. [0003] With the development of computer technology, the method of artificial visual recognition of ground objects has been gradually eliminated. The current method of ground object recognition often adopts the method of supervised classification, that is, firstly select samples o...

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Problems solved by technology

[0006] The invention provides a remote sensing image processing method and system for land resource management to solve existing problems

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