  In recent years, due to the wide application of multi-sensor vision systems,
multimodal image acquisition technology has continued to develop, and the
registration problem based on multimodal images has gradually emerged. Most of
the existing multimodal image registration methods are only suitable for two
modalities, and cannot uniformly register multiple modal image data. Therefore,
this paper proposes a multimodal remote sensing image registration method based
on adaptive multi-scale PIIFD(AM-PIIFD). This method extracts KAZE features,
which can effectively retain edge feature information while filtering noise.
Then adaptive multi-scale PIIFD is calculated for matching. Finally, the
mismatch is removed through the consistency of the feature main direction, and
the image alignment transformation is realized. The qualitative and
quantitative comparisons with other three advanced methods shows that our
method can achieve excellent performance in multimodal remote sensing image
registration.
