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nuknal
269
registrate.go
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269
registrate.go
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package main
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import (
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"bufio"
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"fmt"
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"image"
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"os"
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"github.com/chai2010/tiff"
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log "github.com/sirupsen/logrus"
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"gocv.io/x/gocv"
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)
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type Registrate interface{}
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const (
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MssBands = 4
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PixelBytes = 2
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PanWidth = 9344 // 像素宽度
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MssWidth = 2336
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BlockNum = 5
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)
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type Registrator struct {
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PanImage gocv.Mat
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PanHeight int
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PanWidth int
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MssImages [4]gocv.Mat
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MssHeight int
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MssWidth int
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registeredImages [4]gocv.Mat
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rgbirImage gocv.Mat
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}
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func NewRegistrator() *Registrator {
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var r Registrator
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return &r
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}
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func (r *Registrator) LoadPanRaw(raw string) error {
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data, err := os.ReadFile(raw)
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if err != nil {
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log.Error("Error reading raw file: ", err)
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return err
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}
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height := len(data) / (PanWidth * PixelBytes)
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r.PanImage, err = gocv.NewMatFromBytes(height, PanWidth, gocv.MatTypeCV16U, data)
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if err != nil {
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log.Error("Error creating Mat from bytes: ", err)
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return err
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}
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r.PanHeight = height
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r.PanWidth = PanWidth
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return nil
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}
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func (r *Registrator) LoadMssRaw(raw string) error {
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data, err := os.ReadFile(raw)
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if err != nil {
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log.Error("Error reading raw file: ", err)
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return err
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}
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height := len(data) / (MssWidth * PixelBytes * MssBands)
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mssData := make([][]byte, MssBands)
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for h := 0; h < height; h++ {
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row := data[h*MssWidth*MssBands*PixelBytes : (h+1)*MssWidth*MssBands*PixelBytes]
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for i := 0; i < MssBands; i++ {
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mssData[i] = append(mssData[i], row[i*MssWidth*PixelBytes:(i+1)*MssWidth*PixelBytes]...)
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}
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}
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for i := 0; i < MssBands; i++ {
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r.MssImages[i], err = gocv.NewMatFromBytes(height, MssWidth, gocv.MatTypeCV16U, mssData[i])
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if err != nil {
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log.Error("Error creating Mat from bytes: ", err)
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return err
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}
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}
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r.MssHeight = height
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r.MssWidth = MssWidth
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return nil
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}
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func (r *Registrator) DoPhaseCorrelation() error {
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// 确保 MSS 高度是 PAN 高度的 1/4
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if r.MssHeight*4 != r.PanHeight {
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err := fmt.Errorf("MSS height is not 1/4 of PAN height, invalid raw file")
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log.Error(err)
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return err
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}
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// 将PAN将采样作为轮廓匹配基准图像
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downsampledPanImage := gocv.NewMat()
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gocv.Resize(r.PanImage, &downsampledPanImage,
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image.Point{X: r.MssWidth, Y: r.MssHeight}, 0, 0, gocv.InterpolationLinear)
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// 对每个 MSS 波段图像进行上采样
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upsampledMSSImages := make([]gocv.Mat, MssBands)
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for i := 0; i < MssBands; i++ {
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upsampledMSSImages[i] = gocv.NewMat()
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gocv.Resize(r.MssImages[i], &upsampledMSSImages[i],
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image.Point{X: r.PanWidth, Y: r.PanHeight}, 0, 0, gocv.InterpolationLinear)
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// r.msToRaw(upsampledMSSImages[i].ToBytes(), fmt.Sprintf("MSS%d.RAW", i+1))
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}
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fmt.Println("PAN images size:", r.PanImage.Size())
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fmt.Println("upsampled MSS1 images size:", upsampledMSSImages[0].Size())
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fmt.Println("upsampled MSS2 images size:", upsampledMSSImages[0].Size())
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fmt.Println("upsampled MSS3 images size:", upsampledMSSImages[0].Size())
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fmt.Println("upsampled MSS4 images size:", upsampledMSSImages[0].Size())
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// 分块高度
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blockHeight := r.PanHeight / BlockNum
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alignedMssData := make([][]byte, MssBands)
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for band := 0; band < MssBands; band++ {
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var alignedMSSImage gocv.Mat
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for block := 0; block < BlockNum; block++ {
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// 读取 PAN 和 MSS 分块数据
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y1 := (block + 1) * blockHeight
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if block == BlockNum-1 {
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y1 = r.PanHeight
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}
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log.Println("Processing block", block, image.Rect(0, block*blockHeight, r.PanWidth, y1))
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panBlock := r.PanImage.Region(image.Rect(0, block*blockHeight, r.PanWidth, y1))
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mssBlock := upsampledMSSImages[band].Region(image.Rect(0, block*blockHeight, r.PanWidth, y1))
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// 处理每个分块
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alignedBlock := r.processBlock(panBlock, mssBlock)
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alignedBlockData := alignedBlock.ToBytes()
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alignedMssData[band] = append(alignedMssData[band], alignedBlockData...)
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if alignedMSSImage.Empty() {
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alignedMSSImage = alignedBlock.Clone()
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} else {
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gocv.Vconcat(alignedMSSImage, alignedBlock, &alignedMSSImage)
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alignedBlock.Close()
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}
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panBlock.Close()
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mssBlock.Close()
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}
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r.registeredImages[band] = alignedMSSImage
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}
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r.mssToRaw(alignedMssData, "mss.raw")
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return nil
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}
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func (r *Registrator) processBlock(panBlock, mssBlock gocv.Mat) gocv.Mat {
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pan := gocv.NewMat()
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mss := gocv.NewMat()
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panBlock.ConvertTo(&pan, gocv.MatTypeCV32FC1)
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defer pan.Close()
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mssBlock.ConvertTo(&mss, gocv.MatTypeCV32FC1)
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defer mss.Close()
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hann := gocv.NewMat()
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shift, response := gocv.PhaseCorrelate(pan, mss, hann)
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hann.Close()
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dx := shift.X
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dy := shift.Y
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log.Printf("Block shift: dx = %f, dy = %f. response = %f \n", dx, dy, response)
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// cv::Mat translationMatrix = (cv::Mat_<double>(2, 3) << 1, 0, shift.x, 0, 1, shift.y);
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translationMat := gocv.NewMatWithSize(2, 3, gocv.MatTypeCV32F)
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translationMat.SetFloatAt(0, 0, 1)
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translationMat.SetFloatAt(0, 1, 0)
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translationMat.SetFloatAt(0, 2, shift.X)
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translationMat.SetFloatAt(1, 0, 0)
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translationMat.SetFloatAt(1, 1, 1)
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translationMat.SetFloatAt(1, 2, shift.Y)
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alignedBlock := gocv.NewMat()
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gocv.WarpAffine(mss, &alignedBlock, translationMat, image.Pt(panBlock.Size()[0], panBlock.Size()[1]))
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translationMat.Close()
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alignedBlock.ConvertTo(&alignedBlock, gocv.MatTypeCV16U)
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return alignedBlock
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}
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func (r *Registrator) panToTiff(panImage gocv.Mat, filePath string) error {
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return nil
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}
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func (r *Registrator) mssToTiff(registeredImages [4]gocv.Mat, filePath string) error {
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// 创建合并后的图像（RGBIR）
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rgbirImage := gocv.NewMatWithSize(r.PanHeight, r.PanWidth, gocv.MatTypeCV16UC4) // 4通道，16位
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for y := 0; y < r.PanHeight; y++ {
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for x := 0; x < r.PanWidth; x++ {
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r := registeredImages[0].GetShortAt(y, x)
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g := registeredImages[1].GetShortAt(y, x)
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b := registeredImages[2].GetShortAt(y, x)
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ir := registeredImages[3].GetShortAt(y, x)
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rgbirImage.SetShortAt(y, x*4+0, r)
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rgbirImage.SetShortAt(y, x*4+1, g)
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rgbirImage.SetShortAt(y, x*4+2, b)
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rgbirImage.SetShortAt(y, x*4+3, ir)
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}
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}
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// 将合并后的图像保存为TIFF文件
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fileName := "registered_rgbir.tiff"
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tiffFile, err := os.Create(fileName)
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if err != nil {
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fmt.Println("Error creating TIFF file:", err)
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return err
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}
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defer tiffFile.Close()
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// 使用tiff库保存图像
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img, err := rgbirImage.ToImage()
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if err != nil {
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fmt.Println("Error converting Mat to image:", err)
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return err
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}
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if err := tiff.Encode(tiffFile, img, nil); err != nil {
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fmt.Println("Error encoding TIFF file:", err)
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return err
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}
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fmt.Println("Saved", fileName)
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return nil
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}
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func (r *Registrator) mssToRaw(mssData [][]byte, filePath string) error {
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f, err := os.OpenFile("mss.RAW", os.O_CREATE|os.O_TRUNC|os.O_WRONLY, 0777)
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if err != nil {
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return err
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}
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w := bufio.NewWriter(f)
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for row := 0; row < r.PanHeight; row++ {
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w.Write(mssData[0][row*r.PanWidth*PixelBytes : (row+1)*r.PanWidth*PixelBytes])
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w.Write(mssData[1][row*r.PanWidth*PixelBytes : (row+1)*r.PanWidth*PixelBytes])
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w.Write(mssData[2][row*r.PanWidth*PixelBytes : (row+1)*r.PanWidth*PixelBytes])
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w.Write(mssData[3][row*r.PanWidth*PixelBytes : (row+1)*r.PanWidth*PixelBytes])
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}
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return nil
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}
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func (r *Registrator) msToRaw(mssData []byte, filePath string) error {
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f, err := os.OpenFile(filePath, os.O_CREATE|os.O_TRUNC|os.O_WRONLY, 0777)
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if err != nil {
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return err
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}
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w := bufio.NewWriter(f)
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w.Write(mssData)
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return nil
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}
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