{'fraction_non_alphanumeric': 0.015536723163841809, 'fraction_numerical': 0.00047080979284369113, 'mean_word_length': 5.141618497109826, '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}}
Performance Evaluation of the Radon Transformation in Limited Angle Radar Tomography

The Radon Transformation is an image processing algorithm widely used in the field of tomography. Limited angle tomography takes only a partial view of an object while conventional tomography images the target from all angles. This paper examines how effective the Radon Transformation is at reassembling images when presented with less than ideal limited angle tomographic data. In the first part of this experiment, a simulation is conducted in MATLAB where a pre-established image (Logan-Shepp phantom) is broken down and reassembled using this algorithm. In the second part, and experimental radar tomography station is built to collect real time tomographic data. The Radon Transformation is then used in an attempt to reassemble this back projection data into a cross sectional image. The effectiveness of this algorithm in these situations will be determined by the quality of the final images. 1 – Introduction Radar imaging systems are widely studied by both engineers and scientists due to their ability to accurately reproduce images. In particular, the field of radar tomography is of great interest because these systems are capable of reproducing two, or even three-dimensional images of objects. Radar tomography’s benefits have led to its adoption in several scientific fields. For instance, medical practitioners could use it for imaging the body without the use of ionizing radiation, whereas geoscientists map the subterranean world with ground penetrating radar. The field of radar imaging has been around for at least half a century. Early radar systems were used to detect large ships on the ocean or cloud density for meteorological data. These early systems were able to detect the distance and relative size of an object, but lacked detail. Radar tomography expands on early radar detection by integrating its basic methods with computational software such as MATLAB or Mathematica. With today’s computing power, which continues to become more accessible, researchers are able to add much more detail into images.