We have developed the following general method for the semi-automatic detection of circular archaeological objects:

• Pre-process the remote sensing data to a form suitable for further processing
• Convolve the image with templates of a range of sizes, corresponding to the range of expected sizes of the archaeological objects
• Threshold the convolution result to find an initial (large) set of candidate detections.
• (Optional) Remove detections outside masks.
• Merge detections that are very close
• Compute various measures of the deviation from an ideal model of the cultural heritage object
• Remove detections that deviate too much from the ideal model
• Compute a confidence level (1-6) for each detection
• Visual inspection by archaeologist
• If necessary: field inspection by archaeologist