In　the　present　paper,　in　order　to　resolve　the　registration　of　the　multi-mode　satellite　images　with　different　signal　properties　and　features,　a　two-phase　coarse-to-fine　registration　method　is　presented　and　is　applied　to　the　registration　of　satellite　infrared　images　and　visual　images.　In　the　coarse　registration　phase　of　this　method,　the　edge　of　infrared　and　visual　images　is　firstly　detected.　Then　the　Fourier-Mellin　transform　is　adopted　to　process　the　edge　images.　Finally,　the　affine　transformation　parameters　of　the　registration　are　computed　rapidly　by　the　transformation　relation　between　the　registering　images　in　frequency　domain.　In　the　fine　registration　phase　of　the　proposed　method,　the　feature　points　of　infrared　and　visual　images　are　firstly　detected　by　Harris　operator.　Then　the　matched　feature　points　of　infrared　and　visual　images　are　determined　by　the　cross-correlation　similarity　of　their　local　neighborhoods.　The　fine　registration　is　finally　realized　according　to　the　spatial　correspondent　relation　of　the　matched　feature　points　in　infrared　and　visual　images.　The　proposed　coarse-to-fine　registration　method　derives　both　the　advantages　of　two　methods,　the　high　efficiency　of　Fourier-Mellin　transform　based　registration　method　and　the　accuracy　of　Harris　operator　based　registration　method,　which　is　considered　the　novelty　and　merit　of　the　proposed　method.　To　evaluate　the　performance　of　the　proposed　registration　method,　the　coarse-to-fine　registration　method　is　implemented　on　the　infrared　and　visual　images　captured　by　the　FY-2D　meteorological　satellite.　The　experimental　results　show　that　the　presented　registration　method　is　robust　and　has　acceptable　registration　accuracy.