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Cristhian Aguilera, Fernando Barrera, Felipe Lumbreras, Angel Sappa and Ricardo Toledo. 2012. Multispectral Image Feature Points. SENS, 12(9), 12661–12672.
Far-Infrared and Visible Spectrum images. It allows matching interest points on images of the same scene but acquired in different spectral bands. Initially, points of interest are detected on both images through a SIFT-like based scale space representation. Then, these points are characterized using an Edge Oriented Histogram (EOH) descriptor. Finally, points of interest from multispectral images are matched by finding nearest couples using the information from the descriptor. The provided experimental results and comparisons with similar methods show both the validity of the proposed approach as well as the improvements it offers with respect to the current state-of-the-art.
Multispectral Image Feature PointsCristhian AguileraFernando BarreraFelipe LumbrerasAngel SappaRicardo Toledoinfo:doi/10.3390/s120912661openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cvc.uab.es%2F&genre=article&atitle=Multispectral%20Image%20Feature%20Points&title=Sensors&stitle=SENS&date=2012&volume=12&issue=9&spage=12661&epage=12672&aulast=Cristhian%20Aguilera&au=Fernando%20Barrera&au=Felipe%20Lumbreras&au=Angel%20Sappa&au=Ricardo%20Toledo&id=info%3Adoi%2F10.3390%2Fs120912661&sid=refbase%3ACVCCristhian Aguilera, Fernando Barrera, Felipe Lumbreras, Angel Sappa and Ricardo Toledo. 2012. Multispectral Image Feature Points. SENS, 12(9), 12661-12672.2012JournalArticletextmultispectral image descriptorcolor and infrared imagesfeature point descriptorfile:http://refbase.cvc.uab.es/files/ABL2012.pdfSensors20121291266112672