Geometric registration of terrain images for forest right surveying and mapping based on feature points and SAR-SIFT algorithm
At present,the conventional geometric registration methods for terrain images of surveying and mapping mainly rely on solving the homography matrix to achieve image registration.However,due to the low grayscale processing of the image to be registered,the registration accuracy is poor.Therefore,a geometric registration method for terrain images for forest right surveying and mapping based on feature points and synthetic aperture radar(SAR)-scale-invariant feature transform(SIFT)algorithm was studied.Firstly,the imaging mechanism of SAR images was analyzed.On this basis,filtering algorithms were used to process the images,and the weighted average method was used to perform grayscale processing on the red,green,and blue(RGB)channel components.Then,combined with the SAR-SIFT algorithm,a multi-level scale space was constructed,and pixel gradient values were calculated using the Hessian matrix to generate feature descriptors.Finally,by calculating the similarity of the feature descriptors and combining it with the matching threshold,image feature points were matched.The experimental results show that the geometric registration method for terrain images for forest right surveying and mapping based on feature points and the SAR-SIFT algorithm has a low root mean square error value and ideal geometric registration accuracy while performing geometric registration.
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