cloud cover by kmeans

pkg/cloud-cover/k_means.go

@@ -10,6 +10,7 @@ import (
 	"time"
 
 	log "github.com/sirupsen/logrus"
+	"gocv.io/x/gocv"
 )
 
 const (
@@ -36,6 +37,20 @@ func CloudPercentByKMeans(imagePath string) float64 {
 		return 0.0
 	}
 
+	return computeCloudCoverByKMeans(img)
+}
+
+func CloudPercentByKMeans2(imgMat gocv.Mat) float64 {
+	img, err := imgMat.ToImage()
+	if err != nil {
+		log.Errorf("无法将Mat转换为Image: %v", err)
+		return 0.0
+	}
+	return computeCloudCoverByKMeans(img)
+}
+
+func computeCloudCoverByKMeans(img image.Image) float64 {
+	log.Info("cloud cover computing...")
 	bounds := img.Bounds()
 	width, height := bounds.Max.X, bounds.Max.Y
 	pixels := make([]Pixel, 0, width*height)
@@ -62,7 +77,7 @@ func CloudPercentByKMeans(imagePath string) float64 {
 
 		newCentroids := updateCentroids(pixels, assignments)
 		if hasConverged(centroids, newCentroids) {
-			log.Printf("在第 %d 次迭代后收敛\n", iter+1)
+			log.Debugf("Convergence after the %d iteration", iter+1)
 			break
 		}
 		centroids = newCentroids

pkg/producer/scenes.go

@@ -14,6 +14,7 @@ import (
 	"github.com/paulmach/orb/geojson"
 	log "github.com/sirupsen/logrus"
 	"gocv.io/x/gocv"
+	cloudcover "starwiz.cn/sjy01/image-proc/pkg/cloud-cover"
 	"starwiz.cn/sjy01/image-proc/pkg/config"
 	"starwiz.cn/sjy01/image-proc/pkg/fusion"
 	"starwiz.cn/sjy01/image-proc/pkg/payload"
@@ -231,11 +232,13 @@ func (r *ImgProc) OutputL1A(panScenes []*Scene, mssScenes []*Scene) error {
 			return err
 		}
 
+		jpg := strings.Replace(scene.Tiff, ".tiff", ".jpg", 1)
+		GTiffToJPG(scene.Tiff, jpg, "MSS", false)
+		scene.Meta.CloudRate = cloudcover.CloudPercentByKMeans(jpg)
 		scene.Meta.DataSize = sizeOfFile(scene.Tiff)
 		metaFile := strings.Replace(scene.Tiff, ".tiff", ".meta.xml", 1)
 		writeProductMeta(scene.Meta, metaFile)
-		jpg := strings.Replace(scene.Tiff, ".tiff", ".jpg", 1)
+
-		GTiffToJPG(scene.Tiff, jpg, "MSS", false)
 		r.report.Scenes = append(r.report.Scenes, ReportScene{
 			Name:        scene.SceneId,
 			TiffData:    scene.Tiff,