For　large-scale　hyperspectral　image　data,　how　to　retrieve　the　satisfied　information　quickly　and　accurately　is　critical.　As　hyperspectral　images　are　one　of　the　important　fundamental　and　strategic　information　resources,　it　is　necessary　to　ensure　data　security　during　the　retrieval　process.　A　secure　retrieval　method　of　hyperspectral　images　in　an　encrypted　domain　is　proposed.　The　main　contributions　are　fourfold:　(1)　for　accurately　describing　the　hyperspectral　image　content,　spectral　words　are　created　to　represent　the　spectral　feature　of　hyperspectral　image　and　the　gray　level　cooccurrence　matrix　is　computed　as　the　texture　feature;　(2)　the　hyperspectral　images　are　protected　using　a　hybrid　domain　encryption　method;　(3)　an　order　preserving　encryption　method　is　utilized　to　encrypt　the　spectral　words　and　texture　feature　for　secure　retrieval;　and　(4)　the　retrieval　results　are　obtained　by　matching　Jaccard　distance　in　the　encrypted　domain　and　then　further　optimized　by　the　user＇s　relevance　feedback.　The　experimental　results　show　that　our　secure　retrieval　method　can　effectively　improve　the　retrieval　accuracy　of　a　hyperspectral　image　as　well　as　guarantee　the　security　of　the　image　content.　(C)　2017　Society　of　Photo-Optical　Instrumentation　Engineers　(SPIE)