This application relates to the field of
remote sensing image processing technology, specifically disclosing a method and
system for real-time identification and information downlink of urban black and odorous water bodies from
satellite, including: receiving and
parsing task instructions; selecting images to be processed from image data stored on
satellite according to the target area and
observation time window in the task instructions; performing adaptive on-
satellite processing on the images to be processed according to the
processing parameters in the task instructions to obtain an identification
result set including black and odorous
water body identification results and
pollution levels, floating garbage identification results, and
green algae and duckweed identification results; scoring each identification result, with the
score for black and odorous
water body identification results calculated based on
pollution level and area, and the scores for floating garbage identification results and
green algae and duckweed identification results calculated based on area; sorting the scores of all identification results, selecting high-value identification results according to the sorting results, compressing the high-value identification results, and prioritizing their downlink to the ground via the satellite-to-ground
data transmission channel.