<p>Seismic inversion technology, as a critical tool for reservoir characterization, faces inherent challenges of solution non-uniqueness and insufficient noise robustness, which significantly compromise the reliability of inversion results. To address the limitations of conventional sparse spike inversion in characterizing geological structural features, this paper proposes a joint inversion method integrating parity decomposition with stratal dip constraints. The methodology comprises two principal innovations: (1) Development of a structurally-regularized framework with geological steering capability through the incorporation of stratal dip fields into lateral constraint systems; (2) Matrix reconstruction that embeds geometric attributes of stratum configuration into inversion objective functions, enabling orthogonal integration of tectonic characteristics with seismic wave equation fundamentals.Numerical experiments demonstrate that compared to conventional parity- decomposition-based sparse spike inversion, the proposed method exhibits enhanced thin-bed identification capability and superior spatial continuity preservation under high-noise conditions. The inverted structural geometries show significantly improved consistency with ground-truth geological models, particularly in complex tectonic regions. This methodology not only establishes a theoretical nexus between geological constraints and seismic inversion processes but also provides a novel technical pathway for high-precision reservoir characterization in structurally intricate areas.</p>