{'fraction_non_alphanumeric': 0.02187120291616039, 'fraction_numerical': 0.001215066828675577, 'mean_word_length': 5.195488721804511, '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}}
An airplane detection method for panchromatic image

Airplane detection is one of the crucial parts in the field of remote sensing image processing. In this paper, we focus on airplane detection in the remote sensing panchromatic images (PIs) with high spatial resolution (usually superior to 2m). An automated airplane detection system is proposed in the paper. The system contains two main modules: in module one, we use the circle frequency filter to quickly locate the candidates of airplanes; in module two, the precise detection process is accomplished by combining reconstruction independence component analysis (RICA) and SVM algorithm. Experimental results from the real data indicate that the system is effective in handling the remote sensing images. Therefore, it is a good choice for airplane detection in PIs.