Here is my code, its all running without any error, but the classification image result is like this , and the accuracy and confusionmatrix is showing zero. How can I fix that? https://code.earthengine.google.com/7a60f378e98259dac30568e9c0ceb8b4 Asset link https://code.earthengine.google.com/?asset=projects/ee-naemon53/assets/CWS

I’m working with a classified rasters in Google Earth Engine, where the pixel values are 0, 1, 2 and 3. I need to efficiently count how many times each value occurs in every image (pixel count per class). Right now, I’m using reduceRegion() with frequencyHistogram(), but I’m wondering if there’s a faster and more optimized method. Here’s the code for calculating the F1-score and confusion matrix: // F1-score calculation function calculateF1Score(binaryImage) { var confusionMatrix = maskImage .add(binaryImage.byte().multiply(2)) .reduceRegion({ reducer: ee.Reducer.frequencyHistogram().unweighted(), maxPixels: 1e13 }); var matrix = ee.Dictionary(confusionMatrix.get('b1')); var TP = ee.Number(matrix.get("3")); // True Positives (TP) var FP = ee.Number(matrix.get("2")); // False Positives (FP) var FN = ee.Number(matrix.get("1")); // False Negatives (FN) var precision = TP.divide(TP.add(FP)); var recall = TP.divide(TP.add(FN)); var f1Score = precision.multiply(recall).multiply(2).divide(precision.add(recall)); return { 'f1Score': f1Score }; } Classes in Confusion Matrix: * TP: Correctly classified positives (value = 3) * FP: False positives (value = 2) * FN: False negatives (value = 1) Is there a more efficient way to count pixel values and speed up this process, given that I have many rasters to process?

Here is my code, its all running without any error, but the classification image result is like this , and the accuracy and confusionmatrix is showing zero. How can I fix that? https://code.earthengine.google.com/7a60f378e98259dac30568e9c0ceb8b4 Asset link https://code.earthengine.google.com/?asset=projects/ee-naemon53/assets/CWS

I’m working with a classified rasters in Google Earth Engine, where the pixel values are 0, 1, 2 and 3. I need to efficiently count how many times each value occurs in every image (pixel count per class). Right now, I’m using reduceRegion() with frequencyHistogram(), but I’m wondering if there’s a faster and more optimized method. Here’s the code for calculating the F1-score and confusion matrix: // F1-score calculation function calculateF1Score(binaryImage) { var confusionMatrix = maskImage .add(binaryImage.byte().multiply(2)) .reduceRegion({ reducer: ee.Reducer.frequencyHistogram().unweighted(), maxPixels: 1e13 }); var matrix = ee.Dictionary(confusionMatrix.get('b1')); var TP = ee.Number(matrix.get("3")); // True Positives (TP) var FP = ee.Number(matrix.get("2")); // False Positives (FP) var FN = ee.Number(matrix.get("1")); // False Negatives (FN) var precision = TP.divide(TP.add(FP)); var recall = TP.divide(TP.add(FN)); var f1Score = precision.multiply(recall).multiply(2).divide(precision.add(recall)); return { 'f1Score': f1Score }; } Classes in Confusion Matrix: * TP: Correctly classified positives (value = 3) * FP: False positives (value = 2) * FN: False negatives (value = 1) Is there a more efficient way to count pixel values and speed up this process, given that I have many rasters to process?

Here is my code, its all running without any error, but the classification image result is like this , and the accuracy and confusionmatrix is showing zero. How can I fix that? https://code.earthengine.google.com/7a60f378e98259dac30568e9c0ceb8b4 Asset link https://code.earthengine.google.com/?asset=projects/ee-naemon53/assets/CWS

Here is my code, its all running without any error, but the classification image result is like this , and the accuracy and confusionmatrix is showing zero. How can I fix that? https://code.earthengine.google.com/7a60f378e98259dac30568e9c0ceb8b4 Asset link https://code.earthengine.google.com/?asset=projects/ee-naemon53/assets/CWS

Hi Folks, I'm running into some issues while using the classification wizard in ArcGIS. So I'm classifying drone imagery to identify underwater grasses, and I'm training the model based on GPS points we collected in the field that have confirmed presence of the grass. I created a 70/30 training and ...

Here is my code, its all running without any error, but the classification image result is like this , and the accuracy and confusionmatrix is showing zero. How can I fix that? https://code.earthengine.google.com/7a60f378e98259dac30568e9c0ceb8b4 Asset link https://code.earthengine.google.com/?asset=projects/ee-naemon53/assets/CWS

Here is my code, its all running without any error, but the classification image result is like this , and the accuracy and confusionmatrix is showing zero. How can I fix that? https://code.earthengine.google.com/7a60f378e98259dac30568e9c0ceb8b4…