Application analysis of different image processing methods in the identification of dam construction areas
[Objective]The recognition of construction area is a fundamental aspect of refined management during dam construc-tion.Traditional method of recognizing construction area mainly involve manual interpretation,which is inefficient,costly and subjective.Applying new intelligent image interpretation method to recognize dam construction areas is a challenging technology problem.[Methods]In this study,focused on the characteristics of large and continuous area,complex terrain,and high degree of human interference associated with dam construction areas,we selected high-resolution imagery from GF-2 and Sentinel-2 sat-ellites to investigate the application effects of different remote sensing image interpretation method in automatic recognition of dam construction areas,using Fengshan Reservoir in Guizhou Province,China,as the research area.[Results]The three method used in this paper have good result and have different advantages.[Conclusion]The result indicate that the image segmentation,change detection,and intelligent classification method can achieve better recognition result for dam construction areas.Among them,the second method is the optimal approach and does not require manual intervention,while the first method is susceptible to the selection of threshold values and superimposed analysis,and has lower recognition accuracy than the latter two method,but the processing flow is simple and easy to implement.
construction areaimage interpretationautomatic recognitionremote sensing monitoringwater conservancy pro-jectinfluence factors
国家科技期刊平台
NSTL
万方数据
