A camera-based method and system for iceberg instance segmentation, recognition, and detection.

Abstract

This invention discloses a camera-based iceberg instance segmentation, recognition, and detection method and system. The method includes the following steps: acquiring polar sea image data; inputting the image data into a first-stage target detection network to output bounding box prediction results for sea ice targets; converting the output bounding box prediction results into location cues and inputting them into a second-stage cue-driven segmentation network; the cue-driven segmentation network performing pixel-level fine-grained segmentation of sea ice targets in the image based on the received location cues, and outputting sea ice instance masks. This invention effectively alleviates the information loss problem during feature compression through a progressive channel reduction module, improving the recall rate and localization accuracy of the detection network for adhered and small iceberg targets. This invention adopts a two-stage architecture of "detection-led, cue-driven segmentation," fully utilizing the strong localization information of the detection boxes to guide segmentation, achieving more accurate instance-level segmentation boundaries.

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