<jupyter_start><jupyter_text>pansharpening hsv<jupyter_code>pan_hsv_rgb = algorithms.pansharpenIhsFusion(l8i, 'B8', rgb)
Map.addLayer(pan_hsv_rgb, {'bands':['red', 'green', 'blue'], 'min':0, 'max':0.2}, 'HSV pansharpen RGB')
pan_hsv_nsr = algorithms.pansharpenIhsFusion(l8i, 'B8', nsr)
Map.addLayer(pan_hsv_nsr, {'bands':['red', 'green', 'blue'], 'min':0, 'max':0.2}, 'HSV pansharpen NSR')<jupyter_output><empty_output><jupyter_text>pansharpening kernel<jupyter_code>pan_kernel_rgb = algorithms.pansharpenKernel(l8i, 'B8', rgb)
Map.addLayer(pan_kernel_rgb, {'bands':rgb, 'min':0, 'max':0.3}, 'kernel pansharpen RGB')
pan_kernel_nsr = algorithms.pansharpenKernel(l8i, 'B8', nsr)
Map.addLayer(pan_kernel_nsr, {'bands':nsr, 'min':0, 'max':0.5}, 'kernel pansharpen NSR')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1934673366834171, 'fraction_numerical': 0.02512562814070352, 'mean_word_length': 11.261538461538462, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, '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}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '41860', 'license': 'MIT', 'n_tokens_mistral': 361, 'n_tokens_neox': 352, 'n_words': 49, 'path': 'notebooks/algorithms/pansharpen.ipynb', 'repo_name': 'hubert-thieriot/gee_tools', 'size': '796'}