Building　extraction　is　still　a　difficult　issue　in　the　field　of　remote　sensing.　In　order　to　extract　the　buildings　with　similar　structures　efficiently,　an　algorithm　based　on　multi-subgraph　matching　is　proposed　using　only　the　panchromatic　high-resolution　remotely　sensed　imagery　(RSI).　Firstly,　scale-invariant　feature　transform　feature　is　detected　within　both　RSI　and　building　template,　and　the　corresponding　graphs　are　constructed.　Then,　binary　matching　rules　are　defined　to　reconstruct　the　graphs　to　reduce　the　complexity.　At　last,　according　to　the　homogeneity　of　the　building　top,　disconnected　subgraphs　are　isolated　from　the　reconstructed　graphs.　To　improve　the　algorithm　accuracy,　the　matched　subgraphs　are　optimized　on　the　basis　of　the　differences　in　the　structure　and　size.　For　verifying　the　validity　of　the　proposed　method,　nine　representatives　are　chosen　from　GF-2　images　covering　Guangzhou,　China.　Experimental　results　show　that　the　precision　and　recall　of　the　proposed　method　are　97.73%　and　87.16%,　respectively,　and　its　overall　performance　F1　is　higher　than　the　three　other　similar　methods.