{'fraction_non_alphanumeric': 0.020227560050568902, 'fraction_numerical': 0.0050568900126422255, 'mean_word_length': 4.866666666666666, '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}}
Using MODTRAN4 to build up a general look-up-table database for the atmospheric correction of hyperspectral imagery

The traditional look up table (LUT) scheme may have some problems when applied in some cases. To avoid these problems, a general LUT with 1 nm spectral resolution is presented in this work. At first, the atmospheric optical parameters were derived by running MODTRAN4 twice. Then, these datasets were loaded into SQLite for accessing rapidly and then the 6-D linear interpolation was used for extracting desired datasets. Finally, some experiments were carried out to test the performance of the proposed technique. Results show that it is very fast to access data from SQLite database, and the proposed technique has high performance and is convenient in most of the cases.