Image　Fusion　is　the　basic　way　to　complement　the　panchromatic　bands　which　occupies　precise　spatial　resolution　with　the　multi-spectral　bands　which　contains　abundant　spectral　details.　By　the　courtesy　of　rapid　development　of　remote　sensing　techniques,　to　the　same　area,　there　are　lots　of　images　with　different　spatial　and　spectral　resolutions,　which　boost　the　necessity　of　image　fusion.　There　have　been　various　approaches　for　image　fusion　available　now,　most　of　which　emphasize　only　on　the　visual　effect　while　ignoring　its　fusion　consequence　to　the　later　image　analysis　processes(such　as　segmentation,　classification,　etc).　The　paper　intends　to　propose　some　suggestions　on　how　to　choose　the　fusion　procedures,　based　on　the　comparison　of　popular　image　fusion　methodologies　applied　to　Quickbird　image　with　0.6m　spatial　resolution.　The　multi-resolution　segmentation　approach　provided　by　Definiens＇　eCognition　has　been　used　in　the　final　segmentation　stage　to　ensure　the　optimal　results).