A Relative Radiation Correction Method for Multiple UAV Images Based on Simultaneous Satellite Images

Abstract

The present invention proposes a relative radiation correction method for multiple sorties of unmanned aerial vehicle images based on simultaneous satellite images, which includes the following steps: for multiple sorties of unmanned aerial vehicle images, firstly acquire medium and high spatial resolution satellite images of the same period and perform preprocessing , to obtain UAV and satellite images of the same area; then based on the spectral reflectance of resampled UAV images and satellite images, the training data set is divided into multiple subsets in the form of regression tree and the regression model is developed; finally, the multiple The subset multiple regression model is applied to the UAV image to generate a reference image, and the least squares regression is applied to establish the radiation correction model of each band, so as to obtain the UAV image after relative radiation correction. The relative radiation correction method for multiple sorties of UAV images constructed by the present invention has simple and efficient operation steps, and can be automated, and can be used for remote sensing image stitching and remote sensing information extraction, as well as crop growth monitoring based on UAV and satellite remote sensing collaboration.

Description

technical field [0001] The invention belongs to the field of relative radiation correction of remote sensing images, in particular to a method for relative radiation correction of multiple sorties of UAV images across sensors. Background technique [0002] With the advantages of low cost, real-time and high efficiency, drones are widely used in crop drought stress, weed detection, nutritional status, growth monitoring and yield forecasting. However, in large-scale crop monitoring, UAVs often need to obtain multiple UAV images to complete the task due to their poor battery life. In the acquisition of multiple UAV images, due to the influence of factors such as solar irradiance, atmospheric state, and terrain, there are differences in the radiation of the same ground object in different images, which is not conducive to further quantitative research. The purpose of radiation correction is to preserve the real change information of surface objects and remove the radiation diff...

AI Technical Summary

Problems solved by technology

However, due to the scale effect produced in the process of upscaling UAV images to satellite images, the uncertainty of artificially looking for homogeneous pixels increases

Although satellite imagery can provide a data basis for the study of radiation inconsistency in multiple sorties of UAV images, there are few reports on the relative radiation correction of UAV images assisted by satellite images

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