{'fraction_non_alphanumeric': 0.013079667063020214, 'fraction_numerical': 0.0, 'mean_word_length': 5.6299212598425195, '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}}
SAR and Optical Images Fusion Algorithm Based on Wavelet Transform

Multisensor data fusion combines data and information from multiple sensors to achieve improved accuracies and better inference about the environment than single sensor alone. This paper presents a technique for fusing the Synthetic Aperture Radar (SAR) image and optical image at same scene using wavelet transform (WT) algorithm. Before fused the two images, a image registration affine transformation algorithm is presented at first, then selecting the maximized WT coefficient between SAR image and optical image, and inverse WT algorithm is executed using the selecting coefficient which described the typical target characters and presented the dominant information in their images. The results are given at last in figures formula and qualitative evaluation formula.