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Title:
HIGH-DYNAMIC RECONSTRUCTION METHOD AND APPARATUS FOR LOW-ILLUMINATION REMOTE SENSING IMAGE
Document Type and Number:
WIPO Patent Application WO/2023/201876
Kind Code:
A1
Abstract:
Disclosed in the embodiments of the present invention are a high-dynamic reconstruction method and apparatus for a low-illumination remote sensing image. The high-dynamic reconstruction method for a low-illumination remote sensing image comprises: obtaining a low-illumination remote sensing image; mapping low-illumination remote sensing image data to a deep learning feature space to obtain a deep feature Fx; determining a short-term feature ys and a long-term feature yl according to the deep feature Fx, the short-term feature ys being a pixel-level dynamic feature determined on the basis of at least a convolution operation in a spatial domain, and the long-term feature yl characterizing a dependency relationship between characterization features determined after the deep feature Fx is processed by a Transformer-based pre-training model; determining a brightness enhancement curve according to the short-term feature ys and the long-term feature yl; and adjusting pixels of the low-illumination remote sensing image one by one according to the brightness enhancement curve. According to the present invention, a problem in the prior art of low high-dynamic reconstruction precision of low-illumination remote sensing images is solved, and the high-dynamic reconstruction precision of the low-illumination remote sensing images is improved.

Inventors:
ZHANG LEI (CN)
WEI WEI (CN)
ZHANG XINYUAN (CN)
DING CHEN (CN)
ZHANG YANNING (CN)
Application Number:
PCT/CN2022/101094
Publication Date:
October 26, 2023
Filing Date:
June 24, 2022
Export Citation:
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Assignee:
UNIV NORTHWESTERN POLYTECHNICAL (CN)
International Classes:
G06T5/00
Foreign References:
CN111489321A2020-08-04
CN111915525A2020-11-10
CN110097515A2019-08-06
US20190333200A12019-10-31
US20220067950A12022-03-03
Attorney, Agent or Firm:
ZHENGZHOU YUYUAN INTELLECTUAL PROPERTY AGENCY (GENERAL PARTNERSHIP) (CN)
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