Image fusion of shortwave infrared (SWIR) and visible for detection of mines, obstacles, and camouflage

摘要

Over the last decade there has been study of separating ground objects from background using multispectral imagery in the reflective spectrum from 400-2500nm. In this paper we explore using two broadband spectral modalities; visible and ShortWave InfraRed (SWIR), for detection of minelike objects, obstacles and camouflage. Whereas multispectral imagery is sensed over multiple narrowband wavelengths, sensing over two broadband spectrums has the advantage of increased signal rsulting from integrated energy over larger spectrums. Preliminary results presented here show that very basic image fusion processing applied to visible and SWIR imagery produces reasonable illumination invariant segmentation of objects against background. This suggests the use of a simplified compact camera architecture using visible and SWIR sensing focal plane arrays for performing detection of mines and other important objects of interest.