First　Order　Ambisonics　has　attracted　significant　attention　for　direction-of-arrival　estimation.　Combining　with　the　time-frequency　analysis　techniques,　existing　methods　could　realize　accurate　localization　results　in　most　of　acoustic　scenarios.　However,　these　methods　encounter　challenges　such　as　energy　leakage　due　to　the　uncertainty　of　linear　time-frequency　transformation,　and　insufficient　localization　cues　in　high-reverberant　noisy　acoustic　environments.　This　paper　addresses　these　challenges　by　integrating　the　localization　cues　from　spectrums　with　varying　time-frequency　resolutions.　Specifically,　by　applying　analysis　window　with　different　sizes,　the　spectrums　with　non-redundant　localization　cues　can　be　generated.　Then,　a　joint　mask　is　designed　by　combining　Hoyer　sparsity　and　inter-channel　energy　measurements　to　assess　the　localization　contribution　at　each　point　within　spectrums.　The　accurate　direct-of-arrival　estimation　can　be　achieved　by　applying　the　masked　DOA　cues　of　T-F　points　from　spectrums　with　different　resolutions.　Objective　evaluations　are　conducted　in　both　simulation　and　actual　recording　environments.　Corresponding　results　prove　that　the　proposed　method　could　exhibit　a　superior　localization　performance　than　several　existing　localization　estimators.