Research on Adaptive Correction Methods for the Edge Distortion of the Remote Sensing Images of UAV Aerial Surveys
In order to improve the clarity of the edge distortion processing of remote sensing images,research on an adaptive correction method for the edge distortion of the remote sensing images of UAV aerial surveys is proposed.According to current correction requirements,the edge distortion features of images are first extracted,the overall efficiency of the correction is improved by a multi-stage method,and a multi-stage adaptive correction mechanism is set.Based on this,an adaptive correction model for the edge distortion of remote sensing images is constructed,and a linear radiation-assisted transformation method is adopted to realize correction processing.Test results show that the clarity of the edge definition of images can reach more than 300ppi in the third stage,which has the charac-teristics of stability,flexibility and efficiency.
UAVAerial survey and remote sensingEdge distortion of imagesAdaptive correctionCorrection methodRemote sensing technology
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