Building　extraction　from　high　resolution　remote　sensing　images　is　a　hot　research　topic　in　the　field　of　photogrammetry　and　remote　sensing.　However,　the　diversity　and　complexity　of　buildings　make　building　extraction　methods　still　face　challenges　in　terms　of　accuracy,　efficiency,　and　so　on.　In　this　study,　a　new　building　extraction　framework　based　on　MBI　and　combined　with　image　segmentation　techniques,　spectral　constraint,　shadow　constraint,　and　shape　constraint　is　proposed.　In　order　to　verify　the　proposed　method,　worldview-2,　GF-2,　GF-1　remote　sensing　images　covered　Xiamen　Software　Park　were　used　for　building　extraction　experiments.　Experimental　results　indicate　that　the　proposed　method　improve　the　original　MBI　significantly,　and　the　correct　rate　is　over　86%.　Furthermore,　the　proposed　framework　reduces　the　false　alarms　by　42%　on　average　compared　to　the　performance　of　the　original　MBI.　©　Authors　2018.