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Title:
REMOTE SENSING IMAGE MARINE AND NON-MARINE AREA SEGMENTATION METHOD BASED ON PYRAMID MECHANISM
Document Type and Number:
WIPO Patent Application WO/2023/039959
Kind Code:
A1
Abstract:
A remote sensing image marine and non-marine area segmentation method based on a pyramid mechanism. The method comprises the following steps: acquiring a high-resolution remote sensing image, cropping the high-resolution remote sensing image, and drawing corresponding sea-land segmentation truth diagrams (S1); sequentially performing block division and image rigid transformation on the cropped high-resolution remote sensing images, and performing division on the basis of a transformation result, so as to obtain a training set and a test set (S2); establishing a pyramid mechanism fusion neural network, and inputting data in the training set into the pyramid mechanism fusion neural network for learning training, so as to obtain a marine and non-marine area segmentation model (S3); and inputting data in the test set into the pyramid mechanism fusion neural network, so as to obtain a remote sensing image sea-land segmentation result (S4).

Inventors:
HUANG MENGXING (CN)
LI YUCHUN (CN)
WU YUANYUAN (CN)
ZHANG YU (CN)
FENG SILING (CN)
WU YUANYAUN (CN)
FEN WENLONG (CN)
WU DI (CN)
LIN CONG (CN)
Application Number:
PCT/CN2021/122466
Publication Date:
March 23, 2023
Filing Date:
September 30, 2021
Export Citation:
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Assignee:
UNIV HAINAN (CN)
International Classes:
G06T7/11
Foreign References:
CN113139550A2021-07-20
CN113343861A2021-09-03
CN112418176A2021-02-26
CN111178149A2020-05-19
CN111160276A2020-05-15
US20200057935A12020-02-20
Attorney, Agent or Firm:
HAINAN HEIP INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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