Research of wide swath image mosaic technology based on　area-array detector adopting whiskbroom scanning mode

摘要

A new method of splicing infrared thermal Unmanned aerial vehicle(UAV) image with special acquisition mode ispresented. We used the bi-directional whiskbroom scanning frame infrared UAV (300,000 pixels) developed by theShanghai Institute of Technical Physics,Chinese Academy of Sciences(SITP) to obtain the image of anarea in haiyan,Zhejiang province.In order to get more accurate temperature data in a widerange, correction and optimization of the mosaic strategy of this infrared image are needed.In thispaper, an orthographical correction model based on drone position and orientation system (POS) parameters wasestablished, By optimizing scale invariant feature transform (SIFT) matching parameters and Random SamplingConsensus (RANSAC) algorithm, more reliable matching results were obtained.After rough calculation of adjacentimages by image location to calculate whether it is an adjacent image, this can reduce the operation time of the splicingalgorithm.The overlapping area images fused with the multi-resolution pyramid algorithm. Finally, the large areaimage and temperature inversion map of the study area were obtained. Inversion results showed that the error oftemperature inversion less than 0.2 degree by comparing with the original temperature before unspliced.It can meet thesubsequent application requirements of the UAV infrared image.