The　spectral　polarization　detection　technology　utilizes　the　multidimensional　information　to　improve　the　accuracy　and　reliability　of　camouflage　target　detection.　The　high-dimensional　data　generated　by　the　existing　spectral　polarization　imaging　systems　are　difficultly　processedin　real-time,　and　the　performance　of　spectral　polarization　detection　in　complex　scenes　is　unsatisfied.　To　address　this　concern,　a　contrast　enhancement　camouflage　target　detection　algorithm　based　on　feature　band　polarization　imaging　is　proposed.　Specific　feature　bands　are　selected　for　the　target　scenes,　and　a　feature　band　polarization　image　acquisition　system　is　constructed　by　combining　a　751　nm　narrowband　filter　with　a　snapshot　polarized　array　camera　to　capture　the　feature　band　polarization　images　in　real-time.　Additionally,　acontrast　enhancement　and　interleaved　sequence　fusion　detection　(CEISFD)　algorithm　is　proposed.　It　enhances　the　target　contrast　in　the　feature　band　polarization　images　through　the　designed　polarization　parameter　image.　The　CEISFD　algorithm　fuses　the　results　of　contrast　enhancement　and　interleaved　sequence　mapping,　thus　suppressing　the　background　noises　in　the　target　images　and　further　highlighting　the　target　features.　The　camouflage　target　is　then　extracted　by　threshold　segmentation.　Experimental　results　demonstrate　that　the　proposed　algorithm　achieves　comprehensive　evaluation　metrics　F　above　0.　90　in　various　scenarios,　and　its　detection　rate　reaches　20　FPS,　enabling　fast　and　accurate　detection　of　camouflage　targets　in　complex　environments.　©　2024　China　Ordnance　Industry　Corporation.　All　rights　reserved.