Invention Grant
- Patent Title: System and method for unsupervised superpixel-driven instance segmentation of remote sensing image
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Application No.: US17667523Application Date: 2022-02-08
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Publication No.: US12165329B2Publication Date: 2024-12-10
- Inventor: Zhicheng Yang , Hang Zhou , Jui-Hsin Lai , Mei Han
- Applicant: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
- Applicant Address: CN Shenzhen
- Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
- Current Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
- Current Assignee Address: CN Shenzhen
- Agency: BAYES PLLC
- Main IPC: G06T7/136
- IPC: G06T7/136

Abstract:
A system and method for unsupervised superpixel-driven instance segmentation of a remote sensing image are provided. The remote sensing image is divided into one or more image patches. The one or more image patches are processed to generate one or more superpixel aggregation patches based on a graph-based aggregation model, respectively. The graph-based aggregation model is configured to learn at least one of a spatial affinity or a feature affinity of a plurality of superpixels from each image patch and aggregate the plurality of superpixels based on the at least one of the spatial affinity or the feature affinity of the plurality of superpixels. The one or more superpixel aggregation patches are combined into an instance segmentation image.
Public/Granted literature
- US20230252644A1 SYSTEM AND METHOD FOR UNSUPERVISED SUPERPIXEL-DRIVEN INSTANCE SEGMENTATION OF REMOTE SENSING IMAGE Public/Granted day:2023-08-10
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