{'fraction_non_alphanumeric': 0.026785714285714284, 'fraction_numerical': 0.010044642857142858, 'mean_word_length': 5.186206896551724, '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}}
Retrieval of Underwater Topography Based on Multi-Source SAR Images

Compared with traditional underwater topography measurement methods such as multi-beam or sonar, remote sensing satellites provide a new method for underwater topography detection, but it's difficult to retrieve high-resolution and high-precision underwater topography only using a single SAR image. This paper aims to perform the complementary and synergetic effect of Multi-source SAR data and proposes a shallow sea topography detection model based on Multi-source SAR. We also verified the model with four SAR images of GF-3, Sentinel-1, ALOS PALSAR and ENVISAT ASAR satellite. The mean relative error of the detected topography is 12.50%, and the correlation coefficient is 0.91. The results show that the model proposed in this paper can effectively retrieve high-precision and high-resolution underwater topography maps.