{'fraction_non_alphanumeric': 0.010638297872340425, 'fraction_numerical': 0.0, 'mean_word_length': 5.208791208791209, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Quality assessment of synthetic aperture sonar images

We consider the problem of navigation error detection in synthetic aperture sonar images. Specifically, the effect of errors in the position and attitude of the sonar antenna is explored in the image and frequency domain. We present two metrics which can be used to discriminate between images with different degrees of navigation errors. A systematic test is developed which allows an automatic detection of navigation errors. Simulated synthetic aperture sonar images are used to test the presented methods.