Multi-unmanned aerial vehicle image relative radiation correction method based on synchronous satellite images

Abstract

The invention provides a multi-unmanned aerial vehicle image relative radiation correction method based on synchronous satellite images, and the method comprises the following steps: for multi-unmanned aerial vehicle images, firstly obtaining the synchronous middle-high spatial resolution satellite images, and carrying out the preprocessing, thereby obtaining the unmanned aerial vehicle and satellite images in the same region; then based on the spectral reflectivity of the resampled unmanned aerial vehicle image and the satellite image, segmenting the training data set into a plurality of subsets in a regression tree mode, and developing a regression model; and finally, applying the multi-subset multiple regression model to the unmanned aerial vehicle image to generate a reference image, and establishing a radiation correction model of each wave band by applying least square regression so as to obtain the unmanned aerial vehicle image after relative radiation correction. The multi-unmanned aerial vehicle image relative radiation correction method constructed by the invention is simple and efficient in operation steps, can realize automation, and can be used for remote sensing image splicing and remote sensing information extraction, and crop growth monitoring based on cooperation of unmanned aerial vehicles and satellite remote sensing.

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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