  Synthetic aperture radar has the ability to work 24/7 and 24/7, and has high
application value. Propose a new SAR image matching algorithm based on multi
class features, mainly using two different types of features: straight lines
and regions to enhance the robustness of the matching algorithm; On the basis
of using prior knowledge of images, combined with LSD (Line Segment Detector)
line detection and template matching algorithm, by analyzing the attribute
correlation between line and surface features in SAR images, selecting line and
region features in SAR images to match the images, the matching accuracy
between SAR images and visible light images is improved, and the probability of
matching errors is reduced. The experimental results have verified that this
algorithm can obtain high-precision matching results, achieve precise target
positioning, and has good robustness to changes in perspective and lighting.
The results are accurate and false positives are controllable.
