{'fraction_non_alphanumeric': 0.027210884353741496, 'fraction_numerical': 0.0, 'mean_word_length': 4.718446601941747, '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 ATR based on multi-subspaces of independent component analysis

In this paper, a SAR (synthetic aperture radar) ATR algorithm based on multi-subspaces of Independent Component Analysis (ICA) is proposed. Features of each target SAR images are extracted by using ICA firstly, and then the Feature images of the target compose a subspace. All targets can compose multi-subspaces. Finally, we combine all the subspaces to a big new subspace by using PCA. We test our method on MASTAR database. The experiment result shows that the performance of this method is superior to other methods.