Multi-temporal unmanned aerial vehicle video image change area detection and classification method

Abstract

The invention relates to a multi-temporal unmanned aerial vehicle video image change area detection and classification method, and belongs to the field of image processing computer vision. The methodspecifically comprises the following steps: detecting a change area of a homologous image, performing multi-source image registration and fusion, and performing change area classification. The methodis based on unmanned aerial vehicle video image characteristics and the defects of the prior art in the aspect of unmanned aerial vehicle video image change area detection and classification. The invention provides the multi-temporal unmanned aerial vehicle video image change area detection and classification method by comprehensively planning algorithm performance and adaptability, and solves a plurality of problems in the aspect of variable reconnaissance of ground object state change of a certain target area by an unmanned aerial vehicle video processing system.

Description

technical field [0001] The invention belongs to the fields of image processing and computer vision, and in particular relates to a method for detecting and classifying changing regions of video images of multi-temporal drones. Background technique [0002] The appearance and disappearance of the target in the scene, or the change of the state of the target area, will cause differences in the scene images imaged at different times, and the purpose of change detection is to quantitatively analyze these differences, judge the changed area, and at the same time detect the change situation is assessed. Change detection has important application requirements in many fields. For example, it can be used in agriculture, land resource monitoring, and disaster assessment in the civilian field; in the military, it can be used to perform tasks such as damage effect assessment, battlefield information dynamic perception, and military target monitoring. UAVs have the advantages of high ma...

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Problems solved by technology

[0012] Therefore, based on the characteristics of UAV video images and the defects of domestic existing technology in the detection and classification of UAV video image change areas, and considering the performance and adaptability of the algorithm, a multi-temporal UAV video image change area detection and detection method is proposed. The classification method solves many problems in the UAV video processing system to detect changes in the status of ground objects in a target area

[0013] 1) There may

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