{'fraction_non_alphanumeric': 0.013513513513513514, 'fraction_numerical': 0.0016891891891891893, 'mean_word_length': 5.445652173913044, '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}}
Applications of LWIR Polarimetric Video From a Low-flying Platform

Polarimetric video is currently utilized for object detection and 3D inference. We demonstrate further novel analyses and applications of the polarization phenomenon. The first effort here described utilizes a physics-based model for emission polarization in the long-wave infrared band to segment the pixels in each frame into classes representing different materials in the scene. In the second effort we are able to classify human actions without performing a segmentation but, by leveraging the polarization information.