{'fraction_non_alphanumeric': 0.021806853582554516, 'fraction_numerical': 0.003115264797507788, 'mean_word_length': 5.2682926829268295, '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}}
Inter-sensor analysis of persistent scatterer L-band SAR interferometry

Recently many studies for application of multi-temporal interferometric SAR technique in monitoring ground motion have been reported. When we focus on number of scenes in high resolution mode of ALOS/PALSAR and ALOS-2/PALSAR-2, available number of scenes for interferometry are limited because of their global observation scenario. ALOS/PALSAR and ALOS-2/PALSAR-2 observation has been conducted with less number of scenes but globally and equally in comparison to other sensors which have been widely used, such as TerraSAR-X and COSMO-SkyMed. Therefore, overcoming this problem of scene number will promote application field of them. Since the scenes cannot be merged for interferometry analysis between these sensors as they are on different orbit and with different frequency, in this study, inter-sensor time-series analysis of persistent scatterer interferometry is discussed to increase availability of the data set. These scenes from different sensors in different orbit are merged to be used for estimation process in time-series analysis and an output parameter set is calculated although traditional approach estimates parameter set after time-series analysis in different data set has been conducted.