The invention discloses a ship target detection and identification method for a
satellite-borne
remote sensing optical image. The method comprises the following steps of preprocessing, ineffective information removal, connected region marking,
feature extraction and classifier design. A coarse-to-fine strategy is adopted, firstly, a
satellite image is subjected to downsampling and
Gaussian filtering
processing, then, land and isolated noisy points are removed from the processed image, a candidate region is quickly extracted and is marked, feature information is extracted after the image is rotated, then, the feature information is put into a pre-trained classifier to be furthered confirmed and analyzed, false alarms are removed, and a real ship target is found. Meanwhile, the invention also realizes a ship target detection and
identification system for the
satellite-bone
remote sensing optical image. By use of the technical scheme, satellite-borne storage and calculation of
limited resources can be effectively utilized to improve the stability and the real time of a ship detection
algorithm, meanwhile, a
false alarm rate is effectively lowered, and accurate data can be provided for maritime
search and rescue and ship image positioning in time.