In　order　to　increase　image　registration　accuracy　in　change　detection,　from　the　view　of　multi-scale　fusion,　a　method　was　proposed　for　region　variation　detection,　which　applied　the　multi-scale　analysis　to　remote　sensing　image.　First　of　all,　Wavelet　transform　was　adopted　to　decompose　original　images,　then　Mahalanobis　distance　decision　function　was　used　to　detect　the　changes　of　different　scale　images,　and　finally　Markov　random　field　was　applied　to　fuse　different　scale　change　detection　results.　Since　Markov　random　field　fusion　method　took　full　account　of　the　correlation　between　the　adjacent　pixels　and　the　links　of　different　scale　change　detection　results,　the　fusion　results　were　more　accurate　and　practical.　The　testing　results　showed　that　this　method　is　effective　and　robust.