pyxccd.imagetool.tile_processing module

pyxccd.imagetool.tile_processing.tileprocessing_report(result_log_path, stack_path, version, algorithm, dataset_info, startpoint, cold_timepoint, tz, n_cores, probability_threshold, conse)

output tile-based processing report :Parameters: * result_log_path (string) – outputted log path

• stack_path (string) – stack path

• version (string)

• algorithm (string)

• dataset_info (dictionary structure)

• startpoint (a time point, when the program starts)

• tz (string, time zone)

• n_cores (the core number used)

• probability_threshold (change probability threshold)

• conse (number of consecutive observations)

pyxccd.imagetool.tile_processing.is_finished_cold_blockfinished(result_path, nblocks)

check if the algorithm finishes all blocks :Parameters: * result_path (the path that save results)

• nblocks (the block number)

• Returns (boolean)

• ——- – True -> all block finished

pyxccd.imagetool.tile_processing.get_stack_date(dataset_info: DatasetInfo, block_x: int, block_y: int, stack_path: str, low_datebound: int = 0, high_datebound: int = 999999, nband: int = 8)

Parameters:

• dataset_info

• block_x – block id at x axis

• block_y – block id at y axis

• stack_path – stack path

• low_datebound – ordinal data of low bounds of selection date range

• high_datebound – ordinal data of upper bounds of selection date range

Returns:

img_tstack, img_dates_sorted img_tstack - 3-d array (dataset_info.block_width * dataset_info.block_height, nband, nimage)

pyxccd.imagetool.tile_processing.block_tile_processing(dataset_info, stack_path, result_path, method, probability_threshold, conse, b_c2, low_datebound, upper_datebound, block_id)