Aerial remote sensing image splicing method assisted by pose information
A pose information, aerial remote sensing technology, applied in the field of aerial remote sensing image stitching aided by pose information, can solve the problems of easy failure of remote sensing image stitching, and achieve the effects of improving stitching performance, reducing stitching errors, and improving speed.
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Embodiment 1
[0089] A pose information-assisted aerial remote sensing image mosaic method, the specific flow chart is as follows figure 1 As shown, the steps are as follows:
[0090] S1: Job acquisition and preprocessing of remote sensing image data and navigation pose data;
[0091] S2: Calculate the displacement of the adjacent images of the flight belt according to the pose information, and solve the overlapping area of the images;
[0092] S3: Extract image features of overlapping areas, locate feature points and generate feature descriptors, perform feature matching, solve image transformation homography matrix, and realize image registration;
[0093] S4: Analyze the registration quality of the image registration results based on overlapping region features. If the registration fails, convert the navigation system pose information into the rotation matrix and translation vector of the camera, and directly solve the homography matrix between images to realize the image Registratio...
Embodiment 2
[0162] The invention provides a pose information-assisted aerial remote sensing image mosaic method, comprising the following steps:
[0163] First of all, design the shooting time and route of the operation experiment; do the calibration experiment of the camera sensor and the navigation system in advance, including calibrating the time difference between the camera and the navigation system, and obtaining the internal parameters of the camera through calibration; conduct the operation experiment to obtain remote sensing image data and navigation Calculate the pose data; enhance and distort the acquired image.
[0164] Secondly, calculate the displacement of the flight belt image according to the pose information, and then solve the overlapping area of adjacent images; perform feature extraction through SURF in the overlapping area, and use adaptive threshold and RANSAC for feature matching to solve the homography matrix of image transformation ;
[0165] Thirdly, the qual...
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