{'fraction_non_alphanumeric': 0.012110726643598616, 'fraction_numerical': 0.0, 'mean_word_length': 4.908163265306122, '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}}
Estimation of Tree Positions from Aerial Photos

To estimate positions of individual trees in high– resolution aerial photographs we use circular templates derived from an optical tree crown model and the geometry at image acquisition. Local maxima are found for the correlation function for the successively transposed templates over the whole image. Using auxilliary information on the exact or approximate number of trees in the stand regarded, the set of local maxima is thinned. The method is applied to an image of trees lighted from the side, in a stand of Norway spruce.