diff --git a/.gitignore b/.gitignore
index 66ddb60..53321f8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,3 +5,4 @@ data
 *.jpeg
 *.png
 *.PNG
+bin
diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..77975f8
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,11 @@
+.DEFAULT_GOAL := out
+export DATE := $(shell date +%Y%m%d-%H:%M:%S)
+export COMPILE_LDFLAGS='-s -w -X "main.BuildDate=${DATE}" '
+out:
+	GOOS=darwin GOARCH=arm64 go build -o bin/sjy01-imgproc-darwin-arm64 -ldflags=${COMPILE_LDFLAGS} cmd/*.go 
+
+clean:
+	rm -rf ./bin/*
+
+linux:
+	GOOS=linux GOARCH=amd64 go build -o bin/sjy01-imgproc -ldflags=${COMPILE_LDFLAGS} cmd/*.go
diff --git a/gdal_pansharpen.go b/gdal_pansharpen.go
index a6bb06c..77d5de4 100644
--- a/gdal_pansharpen.go
+++ b/gdal_pansharpen.go
@@ -13,17 +13,17 @@ const (
 
 // IHS 变换是一种将 RGB 空间转换为亮度、色调和饱和度的变换方法
 func PansharpenIHS(panImage, mssImage gocv.Mat) gocv.Mat {
-	pan32 := gocv.NewMat()
-	defer pan32.Close()
-	panImage.ConvertTo(&pan32, gocv.MatTypeCV32FC1)
+	// pan32 := gocv.NewMat()
+	// defer pan32.Close()
+	// panImage.ConvertTo(&pan32, gocv.MatTypeCV32FC1)
 
-	mss32 := gocv.NewMat()
-	mssImage.ConvertTo(&mss32, gocv.MatTypeCV32FC4)
+	mss32F := gocv.NewMat()
+	mssImage.ConvertTo(&mss32F, gocv.MatTypeCV32FC4)
 
 	// 调整 MSS 图像的大小到与 PAN 图像相同的大小
 	mssResized := gocv.NewMat()
 	defer mssResized.Close()
-	gocv.Resize(mss32, &mssResized,
+	gocv.Resize(mss32F, &mssResized,
 		image.Point{X: panImage.Cols(), Y: panImage.Rows()}, 0, 0, gocv.InterpolationCubic)
 
 	// 将 MSS 图像从 BGR 转换为 HLS
@@ -32,14 +32,29 @@ func PansharpenIHS(panImage, mssImage gocv.Mat) gocv.Mat {
 	gocv.CvtColor(mssResized, &mssHLS, gocv.ColorBGRToHLS)
 
 	// 分离 HLS 通道 只有3个通道
+	// Hue
+	// Lightness
+	// Saturation
 	hlsChannels := gocv.Split(mssHLS)
 
 	fmt.Println("size of channels:", len(hlsChannels), mssImage.Channels(), mssResized.Channels(), mssHLS.Channels())
-	fmt.Println("size of pan32:", pan32.Size(), pan32.Channels())
-	fmt.Println("size of resized mss", mss32.Size(), mss32.Rows(), mss32.Cols())
 
-	// 使用 PAN 图像替换亮度分量（Intensity）- 通常替换的是 G 通道
-	hlsChannels[1] = pan32
+	// 使用 PAN 图像替换亮度分量（Intensity）
+	// hlsChannels[1] = pan32
+
+	// 将 PAN 图像转换为与 HLS 亮度分量相同的范围
+	panFloat := gocv.NewMat()
+	defer panFloat.Close()
+	panImage.ConvertTo(&panFloat, gocv.MatTypeCV32F)
+	gocv.Normalize(panFloat, &panFloat, 0, 255, gocv.NormMinMax)
+
+	hlsFloat := gocv.NewMat()
+	defer hlsFloat.Close()
+	hlsChannels[1].ConvertTo(&hlsFloat, gocv.MatTypeCV32F)
+	gocv.Normalize(hlsFloat, &hlsFloat, 0, 255, gocv.NormMinMax)
+
+	// 替换亮度分量
+	hlsChannels[1] = panFloat
 
 	// 合并通道
 	gocv.Merge(hlsChannels, &mssHLS)
@@ -48,8 +63,19 @@ func PansharpenIHS(panImage, mssImage gocv.Mat) gocv.Mat {
 	fusedImage := gocv.NewMat()
 	defer fusedImage.Close()
 	gocv.CvtColor(mssHLS, &fusedImage, gocv.ColorHLSToBGR)
-	fused16 := gocv.NewMat()
-	fusedImage.ConvertTo(&fused16, gocv.MatTypeCV16UC3)
 
-	return fused16
+	// 交换 B 和 R 通道
+	channels := gocv.Split(fusedImage)
+	defer channels[0].Close() // B
+	defer channels[1].Close() // G
+	defer channels[2].Close() // R
+
+	// 交换 B 和 R 通道
+	swappedChannels := []gocv.Mat{channels[2], channels[1], channels[0]}
+	gocv.Merge(swappedChannels, &fusedImage)
+
+	fused16U := gocv.NewMat()
+	fusedImage.ConvertTo(&fused16U, gocv.MatTypeCV16UC3)
+
+	return fused16U
 }